PUBLICATIONS
Patents:
1. R.B. Pachori, M.S. Manikandan, and J. Varghese V,
Apparatus, systems and methods for quality-aware energy-efficient PPG signal
analysis and cardiovascular disease diagnosis and prediction, Indian Patent,
Patent application no. 202221075607, Filed, 26 December,
2022.
2. R.B. Pachori, M.S. Manikandan, and N. Phukan, Systems and methods for contextual information
aware physiological parameter analysis and intelligent human disease
prediction, Indian Patent, Patent application no. 202221075605, Filed, 26 December, 2022.
3. R.B. Pachori, M.S. Manikandan, and J. Varghese V,
Systems and methods for quality-aware energy-efficient respiration rate estimation
from photoplethysmography (PPG) signal, Indian Patent, Patent application no.
202221075071, Filed, 23 December, 2022.
4. R.B. Pachori, M.S. Manikandan, and F.A. Razak,
Apparatus and methods for noise-aware and energy-efficient pulse rate
variability and heart rate variability analysis, Indian Patent, Patent
application no. 202221075073, Filed, 23 December,
2022.
5. R.B. Pachori, M.S. Manikandan, and A. Mondal,
Apparatus and methods for noise-aware energy-efficient ECG signal analysis and
cardiovascular disease diagnosis and prediction, Indian Patent, Patent
application no. 202221075072, Filed, 23 December,
2022.
6. R.B. Pachori and K. Das, System and method for
predicting Parkinsons disease, Indian Patent,
Patent application no. 202221027358, Filed, 12 May,
2022.
7. D. Nayak, R.B. Pachori, G. Banda, S.D. Choudhari, and S. Neema, A remote
pregnancy detection and monitoring device for mammal with multiple foetuses, Indian Patent, Patent application no.
202121016255, Published, 14 October, 2022.
8. B. Fatimah, P. Singh, A. Singhal, and R.B. Pachori,
System and method for biometric identification using ECG signals, Australian
Patent, Patent no. 2021106695, Granted, 08 December,
2021.
Books:
1. R.K. Tripathy and R.B. Pachori, Artificial
intelligence enabled signal processing based models for neural information
processing, CRC Press, 2023.
2. R.K. Tripathy and R.B. Pachori, Signal processing
driven machine learning techniques for cardiovascular data processing,
Elsevier, 2023.
3. R.B. Pachori, Time-frequency analysis techniques and their applications, CRC Press, 2023, ISBN: 9781032392974.
4. D.S. Sisodia, L. Garg, R.B. Pachori, and M. Tanveer,
Machine intelligence techniques for data analysis and signal processing:
Proceedings of the 4th international conference MISP 2022, Volume 1, Springer,
2023, ISBN: 9789819900848.
5. R.K. Chaurasiya, D.K. Agrawal, and R.B. Pachori, AI-enabled smart healthcare using biomedical signals, IGI Global, 2022, ISBN: 9781668439470.
6. D. Gupta, R.S. Goswami, S. Banerjee, M. Tanveer, and R.B. Pachori, Pattern recognition and data analysis with applications, Springer, 2022, ISBN: 9789811915192.
7. S.K. Pani, S.K. Singh, R.B.
Pachori, L. Garg, and X. Zhang, Intelligent data analytics for terror threat
prediction: Architectures, methodologies, techniques and applications
Wiley-Scrivener, 2020, ISBN: 9781119711094.
8. D.S. Sisodia, R.B. Pachori, and L. Garg, Handbook of
Research on advancement of artificial intelligence in healthcare engineering,
IGI Global, 2020, ISBN: 9781799821205.
9. M. Tanveer and R.B. Pachori, Machine intelligence and
signal analysis, Advances in Intelligent Systems and Computing, Springer,
2018, ISBN: 9789811309236.
10. R.B. Pachori and P. Sircar, Non-stationary signal
analysis: Methods based on Fourier-Bessel representation, LAP LAMBERT Academic
Publishing, Saarbrucken, Germany, 2010, ISBN: 9783843388078.
Book Chapters:
1. S.V. Bhalerao and R.B.
Pachori, Automatic detection of motor imagery EEG signals using swarm
decomposition for robust BCI systems, Human-Machine Interface Technology
Advancements and Applications, CRC Press, 2022.
2. S. V. Bhalerao, S.S. Ainwad, and R.B. Pachori, FBSE based automated classification
of motor imagery EEG signals in brain-computer interface, Handbook of Neural Engineering, Volume 2: Brain-Computer Interfaces, Elsevier, 2022.
3. A. Nalwaya, K. Das, and R.B.
Pachori, Emotion identification from TQWT based EEG rhythms, AI-Enabled Smart
Healthcare Using Biomedical Signals, IGI Global, 2021
4. S.I. Khan and R.B. Pachori, Empirical wavelet
transform based framework for diagnosis of epilepsy using EEG signals,
AI-Enabled Smart Healthcare Using Biomedical Signals, IGI Global, 2021.
5. P.K. Chaudhary and R.B. Pachori, Denoising of
biomedical images using two-dimensional Fourier-Bessel series expansion based
empirical wavelet transform, Assistive Technology Intervention in Healthcare
Publisher, CRC, Taylor & Francis Group, UK, 2021.
6. P. Gaur, V. Malaviya, A.
Gupta, G. Bhatia, B. Mishra, R.B. Pachori, and D. Sharma, An optimal model
selection for COVID 19 disease classification, Biomedical Signal and Image
Processing with Artificial Intelligence, EAI/ Springer, 2021.
7. A. Ullal and R.B. Pachori,
Variational mode decomposition based automated diagnosis method for epilepsy
using EEG signals, In: S. Day, S.K. Pani, J.
Rodrigues, and B. Majhi (Eds.) Deep Learning, Machine Learning and IoT in
Biomedical and Health Informatics Techniques and Applications, Biomedical
Engineering, CRC Press, 2021.
8. P.S. Ramya, K. Yashasvi, A.
Anjum, A. Bhattacharyya, and R.B. Pachori, Development of an effective
computing framework for classification of motor imagery EEG signals for
brain-computer interface, In: S. Jain, M. Sood, and
S. Paul (Eds) Advances in Computational Intelligence Techniques, Springer,
2020.
9. R.R. Sharma, P. Meena, and R.B. Pachori, Enhanced
time-frequency representation based on variational mode decomposition and
Wigner-Ville distribution, In: S. Jain and S. Paul (Eds.) Recent Trends in
Image and Signal Processing in Computer Vision, Springer, 2020.
10. D. Bhati, A. Raikwar, R.B. Pachori, and V.M. Gadre,
Three channel wavelet filter banks with minimal time frequency spread for
classification of seizure-free and seizure EEG signals, In: D.S. Sisodia, R.B.
Pachori, and L. Garg (Eds.) Advancement of Artificial Intelligence in
Healthcare Engineering, IGI Global, 2020.
11. R. Singh and R.B. Pachori, Iterative filtering based
automated method for detection of normal and ALS EMG signals, In: S. Jain and
S. Paul (Eds.) Recent Trends in Image and Signal Processing in Computer
Vision, Springer, 2020.
12. R. Sharma, P. Sircar, and R.B. Pachori, Automated
seizures classification using deep neural network based on autoencoder, In:
D.S. Sisodia, R.B. Pachori, and L. Garg (Eds.) Advancement of Artificial
Intelligence in Healthcare Engineering, IGI Global, 2020.
13. R.B. Pachori and V. Gupta, Biomedical engineering
fundamentals, In: F. Firouzi, K. Chakrabarty, and S.
Nassif (Eds.) Intelligent Internet of Things: From Device, to Fog, and
Cloud, Springer, 2020.
14. R. Sharma, P. Sircar, and R.B. Pachori, Computer-aided
diagnosis of epilepsy using bispectrum of EEG
signals, In: S. Paul (Ed.) Application of Biomedical Engineering in
Neuroscience, Springer, 2019.
15. R.R. Sharma, M. Kumar, and R.B. Pachori,
Classification of EMG signals using eigenvalue decomposition based
time-frequency representation, In: N. Sriraam
(Ed.) Biomedical and Clinical Engineering for Healthcare
Advancement, IGI Global, 2019.
16. A. Agrawal, L. Garg, E.E. Audu,
R.B. Pachori, and J.H.G. Dauwels, Early detection of
epileptic seizures based on scalp EEG signals, In: K.C. Santosh, S. Antani, D.S. Guru, and N. Dey (Eds.) Medical imaging:
Artificial Intelligence, Image Recognition, and Machine Learning
Techniques, CRC Press, 2019.
17. V. Gupta, A. Bhattacharyya, and R.B. Pachori,
Automated identification of epileptic seizures from EEG signals using FBSE-EWT
method, In: G.R. Naik (Ed.) Biomedical Signal
Processing-Advances in Theory, Algorithms and Applications, Springer, 2019.
18. D. Bhati, R.B. Pachori, M.
Sharma, and V.M. Gadre, Automated detection of
seizure and nonseizure EEG signals using two-band
biorthogonal wavelet filter banks, In:
G.R. Naik (Ed.) Biomedical Signal Processing-Advances in Theory,
Algorithms and Applications, Springer, 2019.
19. R. Sharma and R.B. Pachori, Automated
classification of focal and non-focal EEG signals based on bivariate empirical
mode decomposition, In: M.H. Kolekar and V.
Kumar (Eds.) Biomedical Signal and Image Processing in Patient Care, IGI
Global, 2017.
20. R.B. Pachori, R. Sharma, and S.
Patidar, Classification of normal and epileptic seizure EEG signals based
on empirical mode decomposition, In: Q. Zhu and A.T. Azar
(Eds.) Complex System Modelling and Control through Intelligent Soft
Computations, Studies in Fuzziness and Soft Computing, Springer International
Publishing, Switzerland, 2015.
21. S. Patidar and R.B. Pachori, Classification of
heart disorders based on tunable-Q wavelet transform of cardiac sound
signals, In: A.T. Azar and S. Vaidyanathan (Eds.) Chaos
Modelling and Control Systems Design, Studies in Computational
Intelligence, Springer International Publishing, Switzerland, 2015.
22. V. Bajaj and R.B. Pachori, Detection of human
emotions using features based on the multiwavelet transform of EEG
signals, In: A.E. Hassanien and A.T.
Azar (Eds.) Brain-Computer Interfaces: Current Trends and
Applications, Intelligent Systems Reference Library, Springer
International Publishing, Switzerland, 2015.
Journal Papers:
1. P.K. Chaudhary, V. Gupta, and R.B. Pachori,
Fourier-Bessel representation for signal processing: A review, Digital Signal
Processing, In press, 2023.
2. S. Bhaskarpandit, A. Gade, S. Dash, D.K. Dash, R.K. Tripathy, and R.B. Pachori,
Detection of myocardial infarction from 12-lead ECG trace images using eigendomain deep representation learning, IEEE Transactions
on Instrumentation & Measurement, In press, 2023.
3. S.I. Khan and R.B. Pachori, Automated eye movement
classification based on EMG of EOM signals using FBSE-EWT technique,
IEEE Transactions on Human-Machine Systems, In press, 2022.
4. N.P.G. Seshadri, S. Agrawal, B.K. Singh, B. Geethanjali, V. Mahesh, and R.B. Pachori, EEG based
classification of children with learning disabilities using shallow and deep
neural network, Biomedical Signal Processing and Control, In press, 2022.
5. S.R. Nayak, D.R. Nayak, U. Sinha, V. Arora, and R.B.
Pachori, An efficient deep learning method for
detection of COVID-19 infection using chest X-ray images, Diagnostics, In
press, 2022.
6. R. Dubey, R.R. Sharma, A. Upadhyay, and R.B. Pachori,
Adaptive variational chirp mode decomposition based
method for bearing fault diagnosis, IEEE Transactions on Industrial
Informatics, In press, 2022.
7. A. Bhattacharyya, V. Aarushi, R. Ranta,
and R.B. Pachori, Ocular artifacts elimination from multivariate EEG signal
using frequency-spatial filtering, IEEE Transactions on Cognitive and
Developmental Systems, In press, 2022.
8. K. Jyoti, S. Sushma, S. Yadav, P. Kumar, R.B. Pachori,
and S. Mukherjee, Automatic diagnosis of COVID-19 with MCA-inspired TQWT-based
classification of chest X-ray images, Computers in Biology and Medicine, In
press, 2022.
9. S. Dash, R.K. Tripathy, D.K. Dash, G. Panda, and R.B.
Pachori, Multiscale domain gradient boosting models for the automated
recognition of imagined vowels using multichannel EEG signals, IEEE Sensors
Letters, In press, 2022.
10. P. Sharma, A. Gautam, P. Maji, R.B. Pachori, and B.K. Balabantaray, Li-SegPNet: Encoder
decoder mode lightweight segmentation network for colorectal polyps analysis,
IEEE Transactions on Biomedical Engineering, In press, 2022.
11. K. Das and R.B. Pachori, Electroencephalogram based
motor imagery brain computer interface using multivariate iterative filtering
and spatial filtering, IEEE Transactions on Cognitive and Developmental
Systems, In press, 2022.
12. A. Nalwaya, K. Das, and R.B.
Pachori, Automated emotion identification using Fourier-Bessel domain-based
entropies, Entropy, In press, 2022.
13. N. Phukan, S. Mohine, A. Mondal, M.S. Manikandan, and R.B. Pachori,
Convolutional neural network-based human activity recognition for edge fitness and
context-aware health monitoring devices, IEEE Sensors Journal, In press, 2022.
14. G. Kumar, P. Date, R.B. Pachori, R. Swaminathan, and
A.K. Singh, Wrapped particle filtering for angular data, IEEE Access, vol. 10,
pp. 90287-90298, August 2022.
15. B. Fatimah, P. Singh, A. Singhal, and R.B. Pachori,
Biometric identification from ECG signals using Fourier decomposition and
machine learning, IEEE Transactions on Instrumentation and Measurement, vol.
71, 4008209, pp. 1-9, August, 2022.
16. A. Anuragi, D.S. Sisodia, R.B.
Pachori, EEG-based cross-subject emotion recognition using Fourier-Bessel
series expansion based empirical wavelet transform and NCA feature selection
method, Information Sciences, vol. 610, pp. 508-524, September, 2022.
17. P. Moridian, A. Shoeibi, M. Khodatars, M. Jafari,
R.B. Pachori, A. Khadem, R. Alizadehsani,
and S.H. Ling, Automatic diagnosis of sleep apnea from biomedical signals using
artificial intelligence techniques: Methods, challenges, and future works,
WIREs Data Mining and Knowledge Discovery, In press, 2022.
18. S.K. Ghosh, R.N. Ponnalagu,
R.K. Tripathy, G. Panda, and R.B. Pachori, Automated heart sound activity
detection from PCG signal using time-frequency domain deep neural network, IEEE
Transactions on Instrumentation & Measurement, In press, 2022.
19. S. Mahapatra, S. Agrawal, P.K. Mishro, and
R.B. Pachori, A novel framework for retinal vessel segmentation using optimal
improved Frangi filter and adaptive weighted spatial
FCM, Computers in Biology and Medicine, vol. 147, 105770, pp. 1-12, August 2022.
20. S.V. Bhalerao and R.B. Pachori, Sparse
spectrum based swarm decomposition for robust nonstationary signal analysis
with application to sleep apnea detection from EEG, Biomedical Signal
Processing and Control, vol. 77, 103792, pp. 1-17, August 2022.
21. G. Kaushik, P. Gaur, R.R. Sharma, and R.B. Pachori,
EEG signal based seizure detection focused on Hjorth
parameters from tunable-Q wavelet sub-bands, Biomedical Signal Processing and
Control, vol. 76, 103645, pp. 1-8, July, 2022.
22. A. Panda, R.B. Pachori, N. Kakkar,
M. Joseph John, and N.D. Sinnappah-Kang, Screening
chronic myeloid leukemia neutrophils using a novel 3- dimensional spectral
gradient mapping algorithm on hyperspectral images, Computer Methods and
Programs in Biomedicine, vol. 220, 106836, pp. 1-10, June,
2022.
23. R.K. Tripathy, S. Dash, A. Rath, G. Panda, and R.B.
Pachori, Automated detection of pulmonary diseases from lung sound signals
using fixed boundary based empirical wavelet transform, IEEE Sensors Letters,
vol. 6, issue 5, 7001504, pp. 1-4, May, 2022.
24. S.I. Khan, S.M. Qaisar, and R.B. Pachori, Automated
classification of valvular heart diseases using FBSE-EWT and PSR based
geometrical features, Biomedical Signal Processing and Control, vol. 73,
103445, pp. 1-17, March, 2022.
25. S. Dash , R.K. Tripathy, G.
Panda , and R.B. Pachori, Automated recognition of imagined commands from EEG
signals using multivariate fast and adaptive empirical mode decomposition based
method, IEEE Sensors Letters, vol. 6, issue 02, 7000504, pp. 1-4, February,
2022.
26. V. Gupta and R.B. Pachori, FB dictionary based SSBL-EM
and its application for multi-class SSVEP classification using eight-channel
EEG signals, IEEE Transactions on Instrumentation & Measurement, vol. 71,
4002508, pp.1-8, February, 2022.
27. A. Tiwari, R.B. Pachori, and P.K. Sanjram,
Dimensionality and angular disparity influence mental rotation in computer
gaming, Computers, Materials & Continua, vol. 72, no. 01, pp. 887-905, February, 2022.
28. P.K. Chaudhary and R.B. Pachori, Automatic diagnosis
of different grades of diabetic retinopathy and diabetic macular edema using
2D-FBSE-FAWT, IEEE Transactions on Instrumentation and Measurement, vol. 71,
5001109, pp. 1-9, January, 2022.
29. A. Bhattacharyya, D. Bhaik,
S. Kumar, P. Thakur, R. Sharma, and R.B. Pachori, A deep learning based
approach for automatic detection of COVID-19 cases using chest X-ray images,
Biomedical Signal Processing and Control, vol. 71, part B, 103182, pp.
1-13, January, 2022.
30. A. Anuragi, D. Sisodia, and
R.B. Pachori, Epileptic-seizure classification using phase-space representation
of FBSE-EWT based EEG sub-band signals and ensemble learners, Biomedical Signal
Processing and Control, vol. 71, part A, 103138, pp. 1-11, January,
2022.
31. R. Dubey, M. Kumar, A. Upadhyay, and R.B. Pachori,
Automated diagnosis of muscle diseases from EMG signals using empirical mode decomposition based method, Biomedical Signal Processing and
Control, vol. 71, part A, 103098, pp. 1-9, January, 2022.
32. P. Gaur, V. Malaviya, A.
Gupta, G. Bhatia, R.B. Pachori, and D. Sharma, COVID-19 disease identification
from chest CT images using empirical wavelet transformation and transfer
learning, Biomedical Signal Processing and Control, vol. 71, part A, 103076,
pp. 1-8, Januray, 2022.
33. A. Tiwari, R.B. Pachori, and P.K. Sanjram,
Dorsal-ventral visual pathways and object characteristics: Beamformer source
analysis of EEG, Computers, Materials & Continua, vol. 70, no. 02, pp.
2347-2363, January, 2022.
34. A. Tiwari, R.B. Pachori, and P.K. Sanjram,
Isomorphic 2D/3D objects and saccadic characteristics in mental rotation,
Computers, Materials & Continua, vol. 70, no. 01, pp. 433-450, Januray, 2022.
35. V.K. Singh and R.B. Pachori, Sliding
eigenvalue decomposition based cross-term suppression in Wigner-Ville
distribution, Journal of Computational Electronics, vol. 20, pp. 2245-2254,
December, 2021.
36. S.I. Khan and R.B. Pachori, Automated classification
of lung sound signals based on empirical mode decomposition, Expert Systems
with Applications, vol. 184, 115456, pp. 1-14, December,
2021.
37. D.S. Ramteke, R.B. Pachori, and A. Parey,
Automated gearbox fault diagnosis using entropy-based features in flexible
analytic wavelet transform (FAWT) domain, Journal of Vibration Engineering
& Technologies, vol. 09, pp. 1703-1713, October,
2021.
38. S.I. Khan and R.B. Pachori, Derived vectorcardiogram
based automated detection of posterior myocardial infarction using FBSE-EWT
technique, Biomedical Signal Processing and Control, vol. 70, 103051, pp. 1-12,
September, 2021.
39. A. Panda, R.B. Pachori, and N.D. Sinnappah-Kang,
Classification of chronic myeloid leukemia neutrophils by hyperspectral imaging
using Euclidean and Mahalanobis distances, Biomedical
Signal Processing and Control, vol. 70, 103025, pp. 1-7, September,
2021.
40. A. Anuragi, D.S. Sisodia,
and R.B. Pachori, Automated FBSE-EWT based learning framework for detection of
epileptic seizures using time-segmented EEG signals, Computers in Biology and
Medicine, vol. 136, 104708, pp. 1-16, September, 2021.
41. P. Gaur, A. Chowdhury, K. McCreadie, R.B. Pachori, and
H. Wang, Logistic regression with tangent space based cross-subject learning
for enhancing motor imagery classification, IEEE Transactions on Cognitive and
Developmental Systems, DOI: 10.1109/TCDS.2021.3099988, July 2021.
42. P.K. Chaudhary and R.B. Pachori, FBSED based automatic
diagnosis of COVID-19 using X-ray and CT images, Computers in Biology and
Medicine, vol. 134, 104454, pp. 1-13, July, 2021.
43. B. Fatimah, P. Singh, A. Singhal, D. Pramanick, S. Pranav, and R.B. Pachori, Efficient detection
of myocardial infarction from single lead ECG signal, Biomedical Signal
Processing and Control, vol. 68, 102678, pp. 1-9, July,
2021.
44. P. Gaur, K. McCreadie, R.B. Pachori, H. Wang, and G.
Prasad, An automatic subject specific channel
selection method for enhancing motor imagery classification in EEG-BCI using
correlation, Biomedical Signal Processing and Control, vol. 68, 102574, pp.
01-08, July, 2021.
45. V.K. Mehla, A. Singhal, P.
Singh, and R.B. Pachori, An efficient method for
identification of epileptic seizures from EEG signals using Fourier analysis,
Physical and Engineering Sciences in Medicine, vol. 44, pp. 443-456, June,
2021.
46. R. Shukla, P.K. Kankar, and
R.B. Pachori, Automated bearing fault classification based on discrete wavelet
transform method, Life Cycle Reliability and Safety Engineering, vol. 10, pp.
99-111, June, 2021.
47. S.I. Khan and R.B. Pachori, Automated detection of
posterior myocardial infarction from vectorcardiogram signals using
Fourier-Bessel series expansion based empirical wavelet transform, IEEE Sensors
Letters, vol. 5, issue 5, pp. 1-4, May, 2021.
48. K. Das and R.B. Pachori, Schizophrenia detection
technique using multivariate iterative filtering and multichannel EEG signals,
Biomedical Signal Processing and Control, vol. 67, 102525, pp. 01-10, May, 2021.
49. B. Fatimah, P. Singh, A. Singhal, and R.B. Pachori,
Hand movement recognition from sEMG signals using
Fourier decomposition method, Biocybernetics and Biomedical Engineering, vol.
41, issue 02, pp. 690-703, April-June, 2021.
50. A. Singhal, M. Agarwal, and R.B. Pachori, Directional
local ternary co-occurrence pattern for natural image retrieval, Multimedia
Tools and Applications, vol. 80, pp. 15901-15920, April,
2021.
51. R. Panda, S. Jain, R.K. Tripathy, R.R. Sharma, and
R.B. Pachori, Sliding mode singular spectrum analysis for the elimination of
cross-terms in Wigner-Ville distribution, Circuits, Systems, and Signal
Processing, vol. 40, pp. 1207-1232, March, 2021.
52. P. Gaur, H. Gupta, A. Chowdhury, K. McCreadie, R.B.
Pachori, and H. Wang, A sliding window common spatial pattern for enhancing
motor imagery classification in EEG-BCI, IEEE Transactions on Instrumentation
and Measurement, vol. 70, article sequence number: 4002709, pp. 1-9, February, 2021.
53. A. Bhattacharyya, R.K. Tripathy, L. Garg, and R.B.
Pachori, A novel multivariate-multiscale approach for computing EEG spectral
and temporal complexity for human emotion recognition, IEEE Sensors Journal,
vol. 21, no. 3, pp. 3579-3591, February, 2021.
54. S.R. Nayak, D.R. Nayak, U. Sinha, V. Arora, and R.B.
Pachori, Application of deep learning techniques for detection of COVID-19
cases using chest X-ray images: A comprehensive study, Biomedical Signal
Processing and Control, vol. 64, 102365, pp. 1-12, February,
2021.
55. V. Gupta and R.B. Pachori, FBDM based time-frequency
representation for sleep stages classification using EEG signals, Biomedical
Signal Processing and Control, vol. 64, 102265, pp. 1-16, February,
2021.
56. P.K. Chaudhary and R.B. Pachori, Automatic diagnosis
of glaucoma using two-dimensional Fourier-Bessel series expansion based
empirical wavelet transform, Biomedical Signal Processing and Control, vol. 64,
102237, pp. 1-17, February, 2021.
57. R.U. Khan, M. Tanveer, R.B. Pachori, and ADN
Initiative (ADNI), A novel method for the classification of Alzheimer's disease
from normal controls using magnetic resonance imaging, Expert Systems, vol. 38,
01, e12566, Januray, 2021.
58. A. Upadhyay, M. Sharma, R.B. Pachori, and R. Sharma, A
non-parametric approach for multicomponent AM-FM signal analysis, Circuits,
Systems, and Signal Processing, vol. 39, pp. 6316-6357, December,
2020.
59. A. Gupta, R.U. Khan, V.K. Singh, M. Tanveer, D. Kumar,
A. Chakraborti, and R.B. Pachori, A novel approach
for classification of mental tasks using multiview
ensemble learning (MEL), Neurocomputing, vol. 417, pp. 558-584, December, 2020.
60. A. Singhal, R. Shukla, P.K. Kankar,
S. Dubey, S. Singh, and R.B. Pachori, Comparing the capabilities of transfer
learning models to detect skin lesion in humans, Proceedings of the Institution
of Mechanical Engineers, Part H: Journal of Engineering in Medicine, vol. 234,
issue 10, pp. 1083-1093, October, 2020.
61. T. Siddharth, P. Gajbhiye,
R.K. Tripathy, and R.B. Pachori, EEG based detection of focal seizure area
using FBSE-EWT rhythm and SAE-SVM network, IEEE Sensors Journal, vol. 20, issue
19, pp. 11421-11428, October, 2020.
62. V. Gupta and R.B. Pachori, Classification of focal EEG
signals using FBSE based flexible time-frequency coverage wavelet transform,
Biomedical Signal Processing and Control, vol. 62, 102124, pp. 1-9, September, 2020.
63. H. Singh, R.K. Tripathy, and R.B. Pachori, Detection
of sleep apnea from heart beat interval and ECG
derived respiration signals using sliding mode singular spectrum analysis,
Digital Signal Processing, vol. 104, 102796, pp. 1-13, September, 2020.
64. B. Fatimaha, P. Singh, A.
Singhal, and R.B. Pachori, Detection of apnea events from ECG segments using Fourier
decomposition method, Biomedical Signal Processing and Control, vol. 61,
102005, pp. 1-10, August, 2020.
65. J.A. de la O Sema, M.R.A. Patemina, A.Z. Mendez, R.K. Tripathy, and R.B. Pachori,
EEG-rhythm specific Taylor-Fourier filter bank implemented with O-splines for
the detection of epilepsy using EEG signals, IEEE Sensors Journal, vol. 20,
issue 02, pp. 6542-6551, June, 2020.
66. R. Sharma, R.B. Pachori, and P. Sircar, Seizures
classification based on higher order statistics and deep neural network, Biomedical
Signal Processing and Control, vol. 59, 101921, May,
2020.
67. A.K. Shukla, R.K. Pandey, and R.B. Pachori, A
fractional filter based efficient algorithm for retinal blood vessel
segmentation, Biomedical Signal Processing and Control, vol. 59, 101883, May, 2020.
68. A. Anuragi, D. Sisodia, and
R.B. Pachori, Automated alcoholism detection using Fourier-Bessel series
expansion based empirical wavelet transform, IEEE Sensors Journal, vol. 20,
issue 9, pp. 4914-4924, May, 2020.
69. P. Gajbhiye, R.K. Tripathy,
and R.B. Pachori, Elimination of ocular artifacts from single channel EEG
signals using FBSE-EWT based rhythms, IEEE Sensors Journal, vol. 20, issue 07,
pp. 3687-3696, April, 2020.
70. R. Sharma, R.B. Pachori, and P. Sircar, Automated
emotion recognition based on higher order statistics and deep learning
algorithm, Biomedical Signal Processing and Control, vol. 58, 101867, pp. 1-10,
April, 2020.
71. D.R. Nayak, R. Dash, B. Majhi, R.B. Pachori, and Y.
Zhang, A deep stacked random vector functional link network autoencoder for
diagnosis of brain abnormalities and breast cancer, Biomedical Signal
Processing and Control, vol. 58, 101860, pp. 1-11, April,
2020.
72. S. Madhavan, R.K. Tripathy,
and R.B. Pachori, Time-frequency domain deep convolutional neural network for
the classification of focal and non-focal EEG signals, IEEE Sensors Journal,
vol. 20, issue 06, pp. 3078-3086, March, 2020.
73. R. Sharma, P. Sircar, and R.B. Pachori, Automated
focal EEG signal detection based on third order cumulant function, Biomedical
Signal Processing and Control, vol. 58, 101856, pp. 1-8, April,
2020.
74. R.R. Sharma, A. Kalyani, and R.B. Pachori, An
empirical wavelet transform based approach for cross-terms free Wigner-Ville
distribution, Signal, Image, and Video Processing, vol. 14, pp. 249-256, March,
2020.
75. A. Singhal, P. Singh, B. Fatimah, and R.B. Pachori, An
efficient removal of powerline interference and baseline wander from ECG
signals by employing Fourier decomposition technique, Biomedical Signal
Processing and Control, vol. 57, 101741, pp. 1-8, March, 2020.
76. A. Nishad and R.B. Pachori, Classification of
epileptic electroencephalogram signals using tunable-Q wavelet transform based
filter-bank, Journal of Ambient Intelligence and Humanized Computing, DOI:
https://doi.org/10.1007/s12652-020-01722-8, Januray
2020.
77. A.K. Shukla, R. Pandey, S. Yadav, and R.B. Pachori,
Generalized fractional filter based algorithm for image denoising, Circuits,
Systems, and Signal Processing, vol. 39, issue 01, pp. 363-390, January, 2020.
78. D.S. Ramteke, A. Parey, and R.B.
Pachori, Automated gear fault detection of micron level wear in bevel gears
using variational mode decomposition, Journal of Mechanical Science and
Technology, vol. 33, no. 12, pp. 5769-5777, December,
2019.
79. P. Gaur, K. McCreadie, R.B. Pachori, H. Wang, and G.
Prasad, Tangent space features based transfer
learning classification model for two-class motor imagery brain-computer
interface, International Journal of Neural Systems, vol. 29, no. 10,
1950025, December, 2019.
80. T. Siddharth, R.K. Tripathy, and R.B. Pachori,
Discrimination of focal and non-focal seizures from EEG signals using sliding
mode singular spectrum analysis, IEEE Sensors Journal, vol. 19, issue 24, pp.
12286-12296, December, 2019.
81. S.K. Ghosh, R.K. Tripathy, R.N. Ponnalagu,
and R.B. Pachori, Automated detection of heart valve disorders from PCG signal
using time-frequency magnitude and phase features, IEEE Sensors Letters, vol.
3, issue 12, pp. 1-4, December, 2019.
82. R.K. Tripathy, A. Bhattacharyya, and R.B. Pachori,
Localization of myocardial infarction from multi lead electrocardiogram signals
using multiscale convolution neural network, IEEE Sensors Journal, vol. 19, no.
23, pp. 11437-11448, December, 2019.
83. D.K. Agrawal, B.S. Kirar,
and R.B. Pachori, Automated glaucoma detection using quasi-bivariate
variational mode decomposition from fundus images, IET Image Processing,
vol. 13, issue 13, pp. 2401-2408, November, 2019.
84. P. Gajbhiye, R.K. Tripathy,
A. Bhattacharyya, and R.B. Pachori, Novel approaches for the removal of motion
artifact from EEG recordings, IEEE Sensors Journal, vol. 19, issue 02, pp.
10600-10608, November, 2019.
85. V. Gupta and R.B. Pachori, Epileptic seizure
identification using entropy of FBSE based EEG rhythms, Biomedical Signal
Processing and Control, vol. 53, 101569, pp. 1-11, August,
2019.
86. P. Gaur, R.B. Pachori, H. Wang, and G. Prasad, An automatic subject specific intrinsic mode function
selection for enhancing two-class EEG based motor imagery-brain computer
interface, IEEE Sensors Journal, vol. 19, no. 16, pp. 6938-6947, August,
2019.
87. R. Katiyar, V. Gupta, and
R.B. Pachori, FBSE-EWT-based approach for the determination of respiratory rate
from PPG signals, IEEE Sensors Letters, vol. 03, no. 07, article sequence no.
7001604, July, 2019.
88. A. Bhattacharyya, R. Ranta,
S. Le Cam, V. Louis-Dorr, L. Tyvaert, S. Colnat-Coulbois, L. Maillard, and R. B. Pachori, A
multi-channel approach for cortical stimulation artefact suppression in depth
EEG signals using time-frequency and spatial filtering, IEEE Transactions
on Biomedical Engineering, vol. 66, issue 07, pp. 1915-1926, July,
2019.
89. R.K. Tripathy, A. Bhattacharyya, and R.B.
Pachori, A novel approach for detection of myocardial infarction from ECG
signals of multiple electrodes, IEEE Sensors Journal, vol. 19, issue 12,
pp. 4509-4517, June, 2019.
90. R.R. Sharma, M. Kumar, and R.B. Pachori, Joint
time-frequency domain based CAD disease sensing system
using ECG signals, IEEE Sensors Journal, vol. 09, no. 10, pp. 3912-3920,
May, 2019.
91. R.R. Sharma, A. Kumar, R.B. Pachori, and U.R.
Acharya, Accurate automated detection of congestive heart failure using
eigenvalue decomposition based features extracted from
HRV signals, Biocybernetics and Biomedical Engineering, vol. 39, issue 02,
pp. 312-327, April, 2019.
92. A. Nishad, R.B. Pachori, and U.R.
Acharya, Automated classification of hand movements using tunable-Q
wavelet transform based filter-bank with surface electromyogram
signals, Future Generation Computer Systems, vol. 93, pp. 96-110, April, 2019.
93. V. Gupta, M.D. Chopda, and
R.B. Pachori, Cross-subject emotion recognition using flexible analytic
wavelet transform from EEG signals, IEEE Sensors Journal, vol. 19, no. 06,
pp. 2266-2274, March, 2019.
94. R. Sharma, P. Sircar, R.B. Pachori, S.V. Bhandary, and U.R. Acharya, Automated glaucoma
detection using center slice of higher order statistics, Journal of
Mechanics in Medicine and Biology, vol. 19, no. 01, 1940011, February,
2019.
95. R. Sharma, P. Sircar, and R.B. Pachori, A new
technique for classification of focal and non-focal EEG signals using higher
order spectra, Journal of Mechanics in Medicine and Biology, vol. 19, no.
01, 1940010, February, 2019.
96. S. Maheshwari, V. Kanhangad, R.B. Pachori, S.V. Bhandary, and U.R. Acharya, Automated glaucoma diagnosis
using bit-plane slicing and local binary pattern techniques, Computers in
Biology and Medicine, vol. 105, pp. 72-80, February,
2019.
97. R.R. Sharma, P. Varshney, R.B. Pachori, and S.K.
Vishvakarma, Automated system for epileptic EEG detection using iterative
filtering, IEEE Sensors Letters, vol. 2, issue 4, article sequence no.
7001904, December, 2018.
98. R.R. Sharma and R.B. Pachori, Improved eigenvalue
decomposition-based approach for reducing cross-terms in Wigner-Ville
distribution, Circuits, Systems, and Signal Processing, vol. 37, issue 08,
pp. 3330-3350, August, 2018.
99. R.R. Sharma and R.B. Pachori, Baseline wander and
power line interference removal from ECG signals using eigenvalue
decomposition, Biomedical Signal Processing and Control, vol. 45, pp.
33-49, August, 2018.
100. R.R. Sharma and R.B. Pachori, Eigenvalue
decomposition of Hankel matrix-based time-frequency representation of complex
signals, Circuits, Systems, and Signal Processing, vol. 37, issue 08,
pp. 3313-3329, August, 2018.
101. D. Bhati, R.B. Pachori, M.
Sharma, and V.M. Gadre, Design of time-frequency
localized two-band orthogonal wavelet filter banks, Circuits, Systems and
Signal Processing, vol. 37, issue 08, pp. 3295-3312, August, 2018.
102. A. Bhattacharyya, L. Singh, and R.B. Pachori,
Fourier-Bessel series expansion based empirical wavelet transform for analysis
of non-stationary signals, Digital Signal Processing, vol. 78, pp. 185-196, July, 2018.
103. A. Nishad, R.B. Pachori, and U.R.
Acharya, Application of TQWT filter-bank for sleep apnea screening using
ECG signals, Journal of Ambient Intelligence and Humanized Computing, DOI:
https://doi.org/10.1007/s12652-018-0867-3, May, 2018.
104. M. Kumar, R.B. Pachori, and U.R.
Acharya, Automated diagnosis of atrial fibrillation ECG signals using
entropy features extracted from flexible analytic
wavelet transform, Biocybernetics and Biomedical Engineering, vol.
38, issue 03, pp. 564-573, May, 2018.
105. M. Sharma, P. Sharma, R.B. Pachori, and U.R. Acharya,
Dual tree complex wavelet transform based features for automated alcoholism
identification, International Journal of Fuzzy Systems, vol. 20, issue 04, pp.
1297-1308, April, 2018.
106. P. Gaur, R.B. Pachori, H. Wang, and G. Prasad, A
multi-class EEG-based BCI classification using multivariate empirical mode
decomposition based filtering and Riemannian geometry, Expert Systems with
Applications, vol. 95, pp. 201-211, April, 2018.
107. A. Bhattacharyya, M. Sharma, R.B. Pachori, P. Sircar,
and U.R. Acharya, A novel approach for automated detection of focal EEG signals
using empirical wavelet transform, Neural Computing and Applications, vol. 29,
issue 8, pp. 47-57, April, 2018.
108. R.R. Sharma and R.B. Pachori, Time-frequency
representation using IEVDHM-HT with application to classification of epileptic
EEG signals, IET Science, Measurement & Technology, vol. 12, issue 01, pp.
72-82, January, 2018.
109. M. Sharma and R.B. Pachori, A novel approach to detect
epileptic seizures using a combination of tunable-Q wavelet transform and
fractal dimension, Journal of Mechanics in Medicine and Biology, vol. 17, no.
07, 1740003, 20 pages, November, 2017.
110. P. Singh and R.B. Pachori, Classification of focal and
non-focal EEG signals using features derived from Fourier-based rhythms,
Journal of Mechanics in Medicine and Biology, vol. 17, no. 07, 1740002, 16 pages,
November, 2017.
111. R. Sharma, R.B. Pachori, and A. Upadhyay, Automatic
sleep stages classification based on iterative filtering of
electroencephalogram signals, Neural Computing and Applications, vol. 28, issue
10, pp. 2959-2978, October, 2017.
112. D. Bhati, R.B. Pachori, and
V.M. Gadre, A novel approach for time-frequency
localization of scaling functions and design of three-band biorthogonal linear
phase wavelet filter banks, Digital Signal Processing, vol. 69, pp. 309-322, October, 2017.
113. M. Kumar, R.B. Pachori, and U.R. Acharya, Automated
diagnosis of myocardial infarction ECG signals using sample entropy in flexible
analytic wavelet transform framework, Entropy, vol. 19 (9), 488, pages 14, September, 2017.
114. A. Bhattacharyya and R.B. Pachori, A multivariate
approach for patient specific EEG seizure detection using empirical wavelet
transform, IEEE Transactions on Biomedical Engineering, vol. 64, no. 09, pp.
2003-2015, September, 2017.
115. S. Maheshwari, R.B. Pachori, V. Kanhangad, S.V. Bhandary, and U.R. Acharya, Iterative variational mode
decomposition based automated detection of glaucoma using fundus images,
Computers in Biology and Medicine, vol. 88, pp. 142-147, September,
2017.
116. M.K. Saxena, S.D.V.S. Jagannadha
Raju, R. Arya, R.B. Pachori, and S. Kher, Instantaneous
area based on-line detection of bend generated error in a Raman optical fiber
distributed temperature sensor, IEEE Sensors Letters, vol. 01, no. 4, article
sequence no. 7000204, August, 2017.
117. A. Upadhyay, M. Sharma, and R.B. Pachori, Determination
of instantaneous fundamental frequency of speech signals using variational mode
decomposition, Computers and Electrical Engineering, vol. 62, pp. 630-647, August, 2017.
118. A.K. Tiwari, R.B. Pachori, V. Kanhangad, and B.K.
Panigrahi, Automated diagnosis of epilepsy using key-points based local binary
pattern of EEG signals, IEEE Journal of Biomedical and Health Informatics, vol.
21, issue 4, pp. 888-896, July, 2017.
119. V. Gupta, T. Priya, R.B. Pachori, and U.R. Acharya,
Automated detection of focal EEG signals using features extracted from flexible
analytic wavelet transform, Pattern Recognition Letters, vol. 94, pp. 180-188,
July, 2017.
120. M. Sharma, R.B. Pachori, and U.R. Acharya, A new
approach to characterize epileptic seizures using analytic time-frequency
flexible wavelet transform and fractal dimension, Pattern Recognition Letters,
vol. 94, pp. 172-179, July, 2017.
121. M. Sharma, P.V. Achuth, R.B.
Pachori, and V.M. Gadre, A parametrization technique
to design joint time-frequency optimized discrete-time biorthogonal wavelet
bases, Signal Processing, vol. 135, pp. 107-120, June, 2017.
122. R. Sharma, M. Kumar, R.B. Pachori, and U.R. Acharya,
Decision support system for focal EEG signals using tunable-Q wavelet
transform, Journal of Computational Science, vol. 20, pp. 52-60, May, 2017.
123. S. Maheshwari, R.B. Pachori, and U.R. Acharya,
Automated diagnosis of glaucoma using empirical wavelet transform and correntropy features extracted from fundus images, IEEE
Journal of Biomedical and Health Informatics, vol. 21, no. 03, pp. 803-813, May, 2017.
124. M. Sharma, A. Dhere, R.B.
Pachori, and V.M. Gadre, Optimal duration-bandwidth
localized antisymmetric biorthogonal wavelet filters, Signal Processing, vol.
134, pp. 87-99, May, 2017.
125. A. Bhattacharyya, R.B. Pachori, A. Upadhyay, and U.R.
Acharya, Tunable-Q wavelet transform based multiscale entropy measure for
automated classification of epileptic EEG signals, Applied Sciences, vol. 7(4),
385, pages: 18, April, 2017.
126. A.K. Tiwari, V. Kanhangad, and R.B. Pachori, Histogram
refinement for texture descriptor based image
retrieval, Signal Processing: Image Communication, vol. 53, pp. 73-85, April,
2017.
127. A. Bhattacharyya, R.B. Pachori, and U.R. Acharya,
Tunable-Q wavelet transform based multivariate sub-band fuzzy entropy with
application to focal EEG signal analysis, Entropy, vol. 19 (3), 99, pages: 14, March, 2017.
128. A. Upadhyay and R.B. Pachori, Speech enhancement based
on mEMD-VMD method, Electronics Letters, vol. 53,
issue 07, pp. 502-504, March, 2017.
129. D. Bhati, M. Sharma, R.B.
Pachori, and V.M. Gadre, Time-frequency localized
three-band biorthogonal wavelet filter bank using semidefinite relaxation and
nonlinear least squares with epileptic seizure EEG signal classification,
Digital Signal Processing, vol. 62, pp. 259-273, March,
2017.
130. M. Kumar, R.B. Pachori, and U.R. Acharya, Use of
accumulated entropies for automated detection of congestive heart failure in
flexible analytic wavelet transform framework based on short-time HRV signals,
Entropy, 19 (3), 92, pages: 21, February, 2017.
131. M. Sharma, A. Dhere, R.B.
Pachori, and U.R. Acharya, An automatic detection of focal EEG signals using
new class of time-frequency localized orthogonal wavelet filter banks, Knowledge-Based
Systems, vol. 118, pp. 217-227, February, 2017.
132. S. Patidar, R.B. Pachori, A. Upadhyay, and U.R.
Acharya, An integrated alcoholic index using tunable-Q wavelet transform based
features extracted from EEG signals for diagnosis of alcoholism, Applied Soft
Computing, vol. 50, pp. 71-78, January, 2017.
133. M. Kumar, R.B. Pachori, and U.R. Acharya,
Characterization of coronary artery disease using flexible analytic wavelet
transform applied on ECG signals, Biomedical Signal Processing and Control,
vol. 31, pp. 301-308, January, 2017.
134. D. Bhati, M. Sharma, R.B.
Pachori, S.S. Nair, and V.M. Gadre, Design of
time-frequency optimal three-band wavelet filter banks with unit Sobolev
regularity using frequency domain sampling, Circuits, Systems & Signal
Processing, vol. 35, issue 12, pp. 4501-4531, December,
2016.
135. M. Kumar, R.B. Pachori, and U.R. Acharya, An efficient automated technique for CAD diagnosis using
flexible analytic wavelet transform and entropy features extracted from HRV
signals, Expert Systems with Applications, vol. 63, pp. 165-172, November,
2016.
136. M. Sharma, D. Bhati, S.
Pillai, R.B. Pachori, and V.M. Gadre, Design of
time-frequency localized filter banks: Transforming non-convex problem into
convex via semidefinite relaxation technique, Circuits, Systems & Signal
Processing, vol. 35, issue 10, pp. 3716-3733, October,
2016.
137. R.B. Pachori and A. Nishad, Cross-terms reduction in
Wigner-Ville distribution using tunable-Q wavelet transform, Signal Processing,
vol. 120, pp. 288-304, March, 2016.
138. M.K. Saxena, S.D.V.S.J. Raju, R. Arya, R.B. Pachori,
S.V.G. Ravindranath, S. Kher,
and S.M. Oak, Empirical mode decomposition based
detection of bend induced error and its correction in a Raman fiber distributed
temperature sensor, IEEE Sensors Journal, vol. 16, no. 5, pp. 1243-1252, March,
2016.
139. R.B. Pachori, M. Kumar, K. Shashank, P. Avinash, and U.R. Acharya, An
improved online paradigm for screening of diabetic patients using RR interval
signals, Journal of Mechanics in Medicine and Biology, vol. 16, no. 01, 1640003,
23 pages, February, 2016.
140. S. Sood, M. Kumar, R.B.
Pachori, and U.R. Acharya, Application of empirical mode decomposition-based
features for analysis of normal and CAD heart rate signals, Journal of
Mechanics in Medicine and Biology, vol. 16, no. 01, 1640002, 20 pages, February, 2016.
141. O. Sahu, V. Anand, V.
Kanhangad, and R.B. Pachori, Classification of magnetic resonance brain images
using bi-dimensional empirical mode decomposition and autoregressive model,
Biomedical Engineering Letters, vol. 5, issue 4, pp. 311-320, December, 2015.
142. P. Jain and R.B. Pachori, An
iterative approach for decomposition of multi-component non-stationary signals
based on eigenvalue decomposition of the Hankel matrix, Journal of the Franklin
Institute, vol. 352, issue 10, pp. 4017-4044, October, 2015.
143. A.S. Hood, R.B. Pachori, V.K. Reddy, and P. Sircar,
Parametric representation of speech employing multi-component AFM signal model,
International Journal of Speech Technology, vol. 18, issue 03, pp. 287-303, September, 2015.
144. R. Sharma, R.B. Pachori, and U.R. Acharya, An integrated index for the identification of focal
electroencephalogram signals using discrete wavelet transform and entropy
measures, Entropy, vol. 17, issue 8, pp. 5218-5240, July, 2015.
145. A. Upadhyay and R.B. Pachori, Instantaneous
voiced/non-voiced detection in speech signals based on variational mode
decomposition, Journal of the Franklin Institute, vol. 352, issue 7, pp.
2679-2707, July, 2015.
146. S. Patidar, R.B. Pachori, and U.R. Acharya, Automated
diagnosis of coronary artery disease using tunable-Q wavelet transform applied
on heart rate signals, Knowledge Based Systems, vol. 82, pp. 1-10, July, 2015.
147. R.B. Pachori, P. Avinash, K.
Shashank, R. Sharma, and U.R. Acharya, Application of empirical mode
decomposition for the analysis of normal and diabetic RR-interval signals,
Expert Systems with Applications, vol. 42, issue 9, pp. 4567-4581, June, 2015.
148. S. Patidar, R.B. Pachori, and N. Garg, Automatic
diagnosis of septal defects based on tunable-Q wavelet transform of cardiac
sound signals, Expert Systems with Applications, vol. 42, issue 7, pp.
3315-3326, May, 2015.
149. M.K. Saxena, S.D.V.S.J. Raju, R. Arya, R.B. Pachori,
S.V.G. Ravindranath, S. Kher,
and S.M. Oak, Empirical mode decomposition based dynamic error correction in SS
covered 62.5/125 um optical fiber based distributed temperature sensor, Optics
& Laser Technology, vol. 67, pp. 107-118, April,
2015.
150. R. Sharma, R.B. Pachori, and U.R. Acharya, Application
of entropy measures on intrinsic mode functions for automated identification of
focal electroencephalogram signals, Entropy, vol. 17, issue 2, pp. 669-691, February, 2015.
151. R. Sharma and R.B. Pachori, Classification of
epileptic seizures in EEG signals based on phase space representation of
intrinsic mode functions, Expert Systems with Applications, vol. 42, issue 3,
pp. 1106-1117, February, 2015.
152. T.S. Kumar, V. Kanhangad, and R.B. Pachori,
Classification of seizure and seizure-free EEG signals using local binary
patterns, Biomedical Signal Processing and Control, vol. 15, pp. 33-40, January, 2015.
153. M.K. Saxena, S.D.V.S.J. Raju, R. Arya, R.B. Pachori,
S.V.G. Ravindranath, S. Kher,
and S.M. Oak, Raman optical fiber distributed temperature sensor using wavelet
transform based simplified signal processing of Raman backscattered signals,
Optics & Laser Technology, vol. 65, pp. 14-24, January,
2015.
154. S. Patidar and R.B. Pachori, Classification of cardiac
sound signals using constrained tunable-Q wavelet transform, Expert Systems
with Applications, vol. 41, pp. 7161-7170, November,
2014.
155. P. Jain and R.B. Pachori, Event-based method for
instantaneous fundamental frequency estimation from voiced speech based on
eigenvalue decomposition of Hankel matrix, IEEE/ACM Transactions on Audio,
Speech and Language Processing, vol. 22, issue 10, pp. 1467-1482, October, 2014.
156. A. Parey and R.B. Pachori,
Gear fault diagnosis based on central tendency measure of intrinsic mode
functions, International Journal of COMADEM, vol. 17, no. 3, pp. 15-22, July, 2014.
157. R.B. Pachori and S. Patidar, Epileptic seizure
classification in EEG signals using second-order difference plot of intrinsic
mode functions, Computer Methods and Programs in Biomedicine, vol. 113, issue
2, pp. 494-502, February, 2014.
158. V. Joshi, R.B. Pachori, and A. Vijesh,
Classification of ictal and seizure-free EEG signals using fractional linear
prediction, Biomedical Signal Processing and Control, vol. 9, pp. 1-5, January, 2014.
159. S. Patidar and R.B. Pachori, Constrained
tunable-Q wavelet transform based analysis of cardiac sound signals, AASRI
Procedia, vol. 4, pp. 57-63, January, 2013.
160. V. Bajaj and R.B. Pachori, Automatic classification of
sleep stages based on the time frequency image of EEG signals, Computer Methods
and Programs in Biomedicine, vol. 112, issue 3, pp. 320-328, December,
2013.
161. S. Patidar and R.B. Pachori, Segmentation of cardiac
sound signals by removing murmurs using constrained tunable-Q wavelet
transform, Biomedical Signal Processing and Control, vol. 8, issue 6, pp.
559-567, November, 2013.
162. P. Jain and R.B. Pachori, Marginal energy density over
the low frequency range as a feature for voiced/non-voiced detection in noisy
speech signals, Journal of the Franklin Institute, vol. 350, issue 4, pp.
678-716, May, 2013.
163. V. Bajaj and R.B. Pachori, Epileptic seizure detection
based on the instantaneous area of analytic intrinsic mode functions of EEG
signals, Biomedical Engineering Letters, vol. 3, issue 1, pp. 17-21, March, 2013.
164. V. Bajaj and R.B. Pachori, Classification of seizure
and nonseizure EEG signals using empirical mode
decomposition, IEEE Transactions on Information Technology in BioMedicine, vol. 16, no. 6, pp. 1135-1142, November, 2012.
165. P. Jain and R.B. Pachori, Time-order representation based method for epoch detection from speech
signals, Journal of Intelligent Systems, vol. 21, issue 1, pp. 79-95, February,
2012.
166. A. Parey and R.B. Pachori,
Variable cosine windowing of intrinsic mode functions: Application to gear
fault diagnosis, Measurement, vol. 45, issue 3, pp. 415-426, April,
2012.
167. R.B. Pachori and V. Bajaj, Analysis of normal and
epileptic seizure EEG signals using empirical mode decomposition, Computer
Methods and Programs in Biomedicine, vol. 104, issue 3, pp. 373-381, December, 2011.
168. R.B. Pachori and D. Hewson, Assessment of the effects
of sensory perturbations using Fourier-Bessel expansion method for postural
stability analysis, Journal of Intelligent Systems, vol. 20, issue 2, pp.
167-186, August, 2011.
169. A.F. Mohed, G. Rama Murthy,
and R.B. Pachori, Novel orthogonal signal based decomposition
of digital signals: Application to sensor fusion, Sensors & Transducers,
vol. 114, issue 3, pp. 56-65, March, 2010.
170. R.B. Pachori and P. Sircar, Analysis of multicomponent
AM-FM signals using FB-DESA method, Digital Signal Processing, vol. 20, pp.
42-62, January, 2010.
171. R.B. Pachori, Discrimination between ictal and
seizure-free EEG signals using empirical mode decomposition, Research Letters
in Signal Processing, vol. 2008, Article ID 293056, 5 pages, December,
2008.
172. R.B. Pachori and P. Sircar, EEG signal analysis using
FB expansion and second-order linear TVAR process, vol. 88, no. 2, pp. 415-420,
February, 2008.
173. R.B. Pachori and P. Sircar, A new technique to reduce
cross terms in the Wigner distribution, Digital Signal Processing, vol. 17, no.
2, pp. 466-474, March, 2007.
Conference
Papers:
1. F.A. Razak, M.S. Manikandan, and R.B Pachori,
Real-time implementation of systolic peak detection for PRV parameter
extraction using Raspberry Pi computing platform, 1st International Conference
on Communication, Security and Artificial Intelligence (ICCSAI-2022), 23-24 December, 2022, Greater Noida, India.
2. G.N.K. Reddy, M.S. Manikandan, and R.B. Pachori,
Automated Hilbert envelope based respiration rate measurement from PPG signal
for wearable vital signs monitoring devices, The Second International
Conference on Artificial Intelligence of Things ( ICAIoT2022), 29-30 December,
2022, Istanbul, Turkey.
3. J. Varghese V, M.S. Manikandan, and R.B. Pachori,
Automatic SWT based QRS detection using weighted subbands
and Shannon energy peak amplification for ECG signal analysis devices, Fourth
IEEE International Conference on Cognitive Computing and Information Processing
(CCIP-2022), 23-24 December, 2022, Bengaluru, India.
4. N. Phukan, M.S. Manikandan,
and R.B. Pachori, Convolutional neural network based atrial fibrillation
detection from ECG signal, Fourth IEEE International Conference on Cognitive
Computing and Information Processing (CCIP-2022), 23-24 December, 2022,
Bengaluru, India.
5. A. Mondal, M.S. Manikandan, and R.B. Pachori,
Convolutional neural network based ECG quality assessment using derivative
signal, Fourth IEEE International Conference on Cognitive Computing and
Information Processing (CCIP-2022), 23-24 December, 2022, Bengaluru, India.
6. V.G. Yamalakonda, R.B.
Pachori, and A.K. Singh, State estimation of Van-der Pol oscillator from noisy
sensor measurement, IEEE 19th India Council International Conference (INDICON
2022), 24-26 November, 2022, Cochin, India.
7. S. Dash, S.K. Ghosh, R.K. Tripathy, G. Panda, and R.B.
Pachori, Fourier-Bessel domain based discrete Stockwell
transform for the analysis of non-stationary signals, 3rd IEEE
International conference INDISCON 2022, 15-17 July,
2022, Bhubaneswar, India.
8. S. Sharma, A. Girish, N.P. Rakhashia,
V.M. Gadre, S. ul Haque, A.
Ansari, R.B. Pachori, P. Radhakrishna, and P. Sahay, Theoretical analysis of an
inverse Radon transform based multicomponent micro-doppler parameter estimation
algorithm, The Twenty Eighth National Conference on Communications (NCC-2022),
24-27 May, 2022, Mumbai, India.
9. K. Das, P. Verma, and R.B. Pachori, Assessment of
chanting effects using EEG signals, XXIV International Conference on Digital
Signal Processing and Its Applications (DSPA-2022), 30 March-1 April, 2022, Moscow, Russia.
10. P.K. Chaudhary, S. Jain, T. Damani, S. Gokharu, and R.B. Pachori, Automatic diagnosis of type of
glaucoma using order-one 2D-FBSE-EWT, XXIV International Conference on Digital
Signal Processing and Its Applications (DSPA-2022), 30 March-1 April, 2022 ,
Moscow, Russia.
11. A. Anuragi, D.S. Sisodia,
R.B. Pachori, and D. Singh, Performance evaluation of TQWT and EMD for
automated major depressive disorder detection using EEG signals, 4th
International Conference on Machine Intelligence and Signal Processing, 12-14
March, 2022, Raipur, India.
12. K. Jyoti, S. Sushma, R.B. Pachori, and S. Mukherjee, Memrisitve crossbar-based window function as activation
function for artificial neural network, 21st International Workshop on
Physics of Semiconductor Devices (IWPSD), 14-17 December, 2021, IIT Delhi and
SSPL, Delhi, India.
13. P.K. Chaudhary and R.B. Pachori, Automatic diagnosis
of COVID-19 and pneumonia using FBD method, IEEE International Conference on
Bioinformatics & Biomedicine, Seoul, S. Korea, 16-19 December, 2020.
14. V.K. Singh and R.B. Pachori, Sliding eigenvalue
decomposition for non-stationary signal analysis, International Conference on
Signal Processing and Communication (SPCOM), July, 2020, Bangalore, India.
15. P. Meena, R.R. Sharma, and R.B. Pachori, Cross-term
suppression in the Wigner-Ville distribution using variational mode
decomposition, 5th International conference on Signal Processing,
Computing, and Control (ISPCC-2k19), 10-12 October, 2019, Waknaghat, India.
16. P.S. Ramya, K. Yashashvi, A.
Anjum, A. Bhattacharyya, and R.B. Pachori, A filtering method for
classification of motor-imagery EEG signals for brain-computer
interface, 5th International conference on Signal Processing,
Computing, and Control (ISPCC-2k19), 10-12 October, 2019, Waknaghat, India.
17. V. Gupta, A. Nishad, and R.B. Pachori, Focal EEG
signal detection based on constant-bandwidth TQWT filter-banks, 2018 IEEE International
Conference on Bioinformatics and Biomedicine, 03-06 December, 2018, Madrid,
Spain.
18. M. Tanveer, R.B. Pachori, and N.V. Victoria, Entropy
based features in FAWT framework for automated detection of epileptic seizure
EEG signals, 2018 Symposium Series on Computational Intelligence, 18-21 November, 2018, Bengaluru, India.
19. M. Tanveer, R.B. Pachori, and N.V. Victoria,
Classification of seizure and seizure-free EEG signals using Hjorth parameters,
2018 Symposium Series on Computational Intelligence, 18-21 November,
2018, Bengaluru, India.
20. A. Nishad and R.B. Pachori, Instantaneous
fundamental frequency estimation of speech signals using tunable-Q wavelet
transform, International Conferences on Signal Processing and
Communications (SPCOM), 16-19 July, 2018, Bangalore,
India.
21. S. Gupta, K. Hari Krishna, R.B. Pachori, and M.
Tanveer, Fourier-Bessel series expansion based
technique for automated classification of focal and non-focal EEG signals,
International Joint Conference on Neural Networks (IJCNN), 08-13 July, 2018,
Rio, Brazil.
22. A. Bhattacharyya, L. Singh, and R.B. Pachori,
Identification of epileptic seizures from scalp EEG signals based on TQWT,
International Conference on Machine Intelligence and Signal Processing, 22-24 December, 2017, Indore, India.
23. S. Shah, M. Sharma, D. Deb, and R.B. Pachori, An automated alcoholism detection using orthogonal wavelet
filter bank, International Conference on Machine Intelligence and Signal
Processing, 22-24 December, 2017, Indore, India.
24. M. Sharma, P. Sharma, R.B. Pachori, and V.M. Gadre, Double density dual-tree complex wavelet transform
based features for automated screening of knee-joint vibroarthrographic
signals, International Conference on Machine Intelligence and Signal
Processing, 22-24 December, 2017, Indore, India.
25. R.R. Sharma, M. Kumar, and R.B. Pachori, Automated CAD
identification system using time-frequency representation based on eigenvalue
decomposition of ECG signals, International Conference on Machine Intelligence
and Signal Processing, 22-24 December, 2017, Indore,
India.
26. R.R. Sharma, P. Chandra, and R.B. Pachori,
Electromyogram signal analysis using eigenvalue decomposition of the Hankel
matrix, International Conference on Machine Intelligence and Signal Processing,
22-24 December, 2017, Indore, India.
27. M. Dalal, M. Tanveer, and
R.B. Pachori, Automated identification system for focal EEG signals using
fractal dimension of FAWT based sub-bands signals, International Conference on
Machine Intelligence and Signal Processing, 22-24 December,
2017, Indore, India.
28. V. Gupta and R.B. Pachori, A new method for
classification of focal and non-focal EEG signals, International Conference on
Machine Intelligence and Signal Processing, 22-24 December,
2017, Indore, India.
29. D. Bhati, R.B. Pachori, and
V.M. Gadre, Optimal design of three-band orthogonal
wavelet filter bank with stopband energy for identification of epileptic
seizure EEG signals, International Conference on Machine Intelligence and
Signal Processing, 22-24 December, 2017, Indore,
India.
30. P. Gaur, R.B. Pachori, H. Wang, and G. Prasad,
Comparison analysis: single and multichannel EMD based filtering with
application to BCI, International Conference on Machine Intelligence and Signal
Processing, 22-24 December, 2017, Indore, India.
31. A. Bhattacharyya, V. Gupta, and R.B. Pachori,
Automated identification of epileptic seizure EEG signals using empirical
wavelet transform based Hilbert marginal spectrum, 22nd International
Conference on Digital Signal Processing, 23-25 August,
2017, London, UK.
32. V. Gupta, A. Bhattacharyya, and R.B. Pachori,
Classification of seizure and non-seizure EEG signals based on EMD-TQWT method,
22nd International Conference on Digital Signal Processing, 23-25 August, 2017, London, UK.
33. M. Sharma, R.B. Pachori, and V.M. Gadre,
A novel class of optimal time-frequency localized biorthogonal wavelet filter
banks for automated identification of epileptic seizures, International
Symposium on Computational Mathematics, Optimization, and Computational
Intelligence (CMOCI 2017), 17-19 July, 2017, IIT Indore,
Indore, India. (Abstract).
34. M. Tanveer, R.B. Pachori, and M. Dalal,
Automated detection of EEG signal based on flexible analytic wavelet transform
with an optimal signal length, International Symposium on Computational
Mathematics, Optimization, and Computational Intelligence (CMOCI 2017), 17-19 July, 2017, IIT Indore, Indore, India. (Abstract).
35. P. Gaur, J.S. Bornot, G.
Prasad, H. Wang, and R.B. Pachori, Decoding of
multi-direction wrist movements using multivariate empirical mode
decomposition, MEG UK 2017, 22-24 March, 2017, Oxford, UK. (Poster).
36. G. Kaushik, P. Gaur, G. Prasad, H. Wang, and R.B.
Pachori, An MEG based multi direction wrist movements analysis using empirical
mode decomposition and multivariate empirical mode decomposition, MEG UK 2016,
22-24 March, 2017, Oxford, UK. (Poster).
37. D. Joshi, A. Tripathi, R. Sharma, and R.B. Pachori,
Computer aided detection of abnormal EMG signals based on tunable-Q wavelet
transform, International Conference on Signal Processing & Integrated
Networks, 11-12 February, 2017, Noida, India.
38. R.R. Sharma and R.B. Pachori, A new method for
non-stationary signal analysis using eigenvalue decomposition of the Hankel
matrix and Hilbert transform, International Conference on Signal Processing
& Integrated Networks, 11-12 February, 2017, Noida, India.
39. S. Patidar and R.B. Pachori, Tunable-Q wavelet
transform based optimal compression of cardiac sound signals, IEEE Tencon Conference, 22-25 November, 2016, Singapore.
40. P. Gaur, R.B. Pachori, H. Wang, and G. Prasad, A
multivariate empirical mode decomposition based
filtering for subject independent BCI, 27th Irish Signals and Systems
Conference, 21-22 June, 2016, Derry, UK.
41. P. Gaur, R.B. Pachori, H. Wang, and G. Prasad,
Enhanced motor imagery classification in EEG-BCI using multivariate EMD based
filtering and CSP features, International Brain-Computer Interface (BCI)
Meeting, 30 May-3 June, 2016, California, USA.
42. P. Gaur, R.B. Pachori, H. Wang, and G. Prasad, An MEG
based BCI for classification of multi direction wrist movements using empirical
mode decomposition, MEG UK 2016, 21-23 March, 2016, York, UK. (Poster).
43. A. Upadhyay and R.B. Pachori, A new method for
determination of instantaneous fundamental frequency from speech signals, IEEE
Signal Processing and Signal Processing Education Workshop, 09-12 August, 2015, Salt Lake City, Utah, USA.
44. P. Gaur, R.B. Pachori, H. Wang, and G. Prasad, An empirical mode decomposition based filtering method for classification
of motor-imagery EEG signals for enhancing brain-computer interface, The
International Joint Conference on Neural Networks, Killarney, Ireland, 12-17
July, 2015.
45. R.B. Pachori, Automatic diagnosis of epilepsy using
non-stationary signal decomposition based methods,
International Conference on Significant Advances in Biomedical Engineering,
Philadelphia, USA, 27-29 April, 2015.
46. A. Mathur, N. Choudhary, A. Upadhyay, and R.B.
Pachori, Detection of glottal closure instants from voiced speech signals using
the Fourier-Bessel series expansion, 4th IEEE International Conference on
Communication and Signal Processing, Melmaruvathur,
India, 2-4 April, 2015.
47. M. Shah, S. Saurav, R. Sharma, and R.B Pachori,
Analysis of epileptic seizure EEG signals using reconstructed phase space of
intrinsic mode functions, 9th IEEE International Conference on Industrial and
Information Systems, 15-17 December, 2014, Gwalior,
India.
48. S. Patidar, R.B. Pachori, and N. Garg, Detection of
septal defects from cardiac sound signals using tunable-Q wavelet transform,
IEEE International Conference on Digital Signal Processing, 20-23 August, 2014, Hong Kong.
49. T.S. Kumar, V. Kanhangad, and R.B. Pachori,
Classification of seizure and seizure-free EEG signals using multi-level local
patterns, IEEE International Conference on Digital Signal Processing, 20-23 August, 2014, Hong Kong.
50. R.B. Pachori and J.-L. Kim, Comparison of the health
care function by head movement, The 1st International Conference on Contents,
Platform, Network and Device, 10 July-13 July, 2014,
Pusan, Korea.
51. R. Sharma, R.B. Pachori, and S. Gautam, Empirical mode
decomposition based classification of focal and
non-focal EEG signals, IEEE International Conference on Medical Biometrics, 30
May-01 June, 2014, Shenzhen, China.
52. V. Bajaj and R.B. Pachori, Human emotion
classification from EEG signals using multiwavelet transform, IEEE
International Conference on Medical Biometrics, 30 May-01 June,
2014, Shenzhen, China.
53. P.S. Rathore and R.B. Pachori, Instantaneous
fundamental frequency estimation of speech signals using DESA in low-frequency
region, IEEE International Conference on Signal Processing and Communication,
pp. 470-473, 12-14 December, 2013, Noida, India.
54. R. Bodade, R.B. Pachori, A.
Gupta, P. Kanani, and D. Yadav, A novel approach for
automated skew correction of vehicle number plate using principal component
analysis, IEEE International Conference on Emerging Trends in Communication,
Control, Signal Processing and Computing Applications, 10-11 October,
2013, Bangalore, India.
55. P. Jain and R.B. Pachori, GCI identification from
voiced speech using the eigen value decomposition of Hankel matrix, IEEE 8th
International Symposium on Image and Signal Processing and Analysis, pp.
371-376, 04-06 September, 2013, Trieste, Italy.
56. P. Kanani, A. Gupta, D.
Yadav, R. Bodade, and R.B. Pachori, Vehicle license
plate localization using wavelets, IEEE Conference on Information and
Communication Technologies, 11-12 April, 2013, Thuckalay, India.
57. S. Patidar and R.B. Pachori, A continuous wavelet
transform based method for detecting heart valve disorders using
phonocardiograph signals, International Conference on Convergence and Hybrid
Information Technology, CCIS 310, pp. 513-520, 23-25 August,
2012, Daejeon, South Korea.
58. V. Bajaj and R.B. Pachori, Separation of rhythms of
EEG signals based on Hilbert-Huang transformation with application to seizure
detection, International Conference on Convergence and Hybrid Information
Technology, LNCS 7425, pp. 493-500, 23-25 August,
2012, Daejeon, South Korea. (Best Paper Award)
59. V. Bajaj and R.B. Pachori, EEG signal classification
using empirical mode decomposition and support vector machine, International
Conference on Soft Computing for Problem Solving, AISC 131, pp. 623-635, 20-22 December, 2011, Roorkee, India.
60. V. Bajaj and R.B. Pachori, Application of the sample
entropy for discrimination between seizure and seizure-free EEG signals, 5th
Indian International Conference on Artificial Intelligence, pp. 1232-1247,
14-16 December, 2011, Tumkur, India.
61. P. Jain and R.B. Pachori, A new approach for glottal
closure instants detection from speech signals, 5th Indian International
Conference on Artificial Intelligence, pp. 1216-1231, 14-16 December, 2011, Tumkur, India.
62. R.B. Pachori and D. Hewson, Identification of
time-varying effects of sensory perturbations for postural stability analysis,
5th Indian International Conference on Artificial Intelligence, pp. 1280-1292,
14-16 December, 2011, Tumkur,
India.
63. R.B. Pachori, J. Gadewadikar,
and O. Kuljaca, Classification of EEG signals based
on empirical mode decomposition and Bayesian networks application,
Seventy-Fifth Annual Meeting, University of Southern Mississippi, USA, 17-18
February, 2011 (Abstract Issue of Journal of the Mississippi Academy of
Sciences, vol. 56, no. 1, pp. 101, Jan 2011).
64. A. Parey and R.B. Pachori,
Modified empirical mode decomposition process for improved fault diagnosis, 8th
IFToMM International Conference on Rotor Dynamics,
pp. 261-265, 12-15 September, 2010, Seoul, Korea.
65. R.B. Pachori and S.V. Gangashetty,
AM-FM model based approach for detection of glottal closure instants, IEEE
International Conference on Information Science, Signal Processing and their
Applications, pp. 266-269, 10-13 May, 2010, Kuala Lumpur, Malaysia.
66. R.B. Pachori and S.V. Gangashetty,
Detection of voice onset time using FB expansion and AM-FM model, IEEE
International Conference on Information Science, Signal Processing and their
Applications, 149-152, 10-13 May, 2010, Kuala Lumpur, Malaysia.
67. S. Chhabra, R. Bajaj, R.B. Pachori, and R.N. Biswas,
Features based on Fourier-Bessel expansion for application of speaker
identification system, Proceedings Indian Conference for Academic Research by
Undergraduate Students, 26-28 March, 2010, IIT Kanpur, India.
68. P. Sircar, R.B. Pachori, and R. Kumar, Analysis of
rhythms of EEG signals using orthogonal polynomial approximation, ACM
International Conference on Convergence and Hybrid Information Technology, pp.
176-180, 27-29 August, 2009, Daejeon, South Korea.
69. R.B. Pachori, D. Hewson, H. Snoussi,
and J. Duchne, Postural time-series analysis using
empirical mode decomposition and second-order difference plots, IEEE
International Conference on Acoustics, Speech, and Signal Processing, pp.
537-540, 19-24 April, 2009, Taipei, Taiwan.
70. R.B. Pachori, D. Hewson, H. Snoussi,
and J. Duchene, Analysis of center of pressure signals using empirical mode
decomposition and Fourier-Bessel expansion, IEEE Tencon
Conference, Article no. 4766596, 18-21 November, 2008,
Hyderabad, India.
71. R.B. Pachori and P. Sircar, Time-frequency analysis
using time-order representation and Wigner distribution, IEEE Tencon Conference, Article no. 4766782, 18-21 November, 2008, Hyderabad, India.
72. R.B. Pachori and P. Sircar, Modeling of multicomponent
AM-FM signals using FB expansion and linear TVAR process, 16th European Signal
Processing Conference, 25-29 August, 2008, Lausanne,
Switzerland.
73. R.B. Pachori and P. Sircar, Speech analysis using
Fourier-Bessel expansion and discrete energy separation algorithm, IEEE Digital
Signal Processing Workshop and Workshop on Signal Processing Education, pp.
423-428, 24-27 September, 2006, Wyoming, USA.
74. R.B. Pachori and P. Sircar, Analysis of multicomponent
nonstationary signals using Fourier-Bessel transform and Wigner distribution,
14th European Signal Processing Conference, 04-08 September,
2006, Florence, Italy.
75. J. Qumar and R.B. Pachori, A
novel technique for merging of multisensor and defocussed images using multiwavelets, IEEE Tencon Conference, pp. 1733-1738, 22-24 November,
2005, Melbourne, Australia.
76. R.B. Pachori and P. Sircar, A novel technique to
reduce cross terms in the squared magnitude of the wavelet transform and the
short time Fourier transform, IEEE International Workshop on Intelligent Signal
Processing, pp. 217-222, 01-03 September, 2005, Faro,
Portugal.
77. R.B. Pachori and P. Sircar, Modeling of time varying
AR process using nonlinear energy operator, IEEE 8th International Symposium on
Signal Processing and its Applications, pp. 643-646, 28-30 August,
2005, Sydney, Australia.
78. R.B. Pachori and P. Sircar, A new technique to reduce
cross terms in the Wigner distribution, 11th National Conference on
Communications, pp. 427-431, 28-30 January, 2005, IIT
Kharagpur, India.