Email Address:

Organization: Defence Institute of Advanced Technology Pune

Qualification: PhD [Signal Processing and Machine Learning]

Enrollment Type: Student Member

Enrollment Number:

Office Address: Room No. 110, First floor, EE Department, Defence Institute of Advanced Technology, Pune, INDIA

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Publications

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 (2018), 72-82.

R.R. Sharma and R.B. Pachori "Eigenvalue Decomposition of Hankel Matrix-Based Time-Frequency Representation for Complex Signals", Circuits, Systems, and Signal Processing, vol. 37 (2018), 3313-3329.

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 (2018), 33-49.

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 (2018), 3330-3350.

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 Engineer

R.R. Sharma, P. Varshney, and R.B. Pachori, Automated system for epileptic EEG detection using iterative filtering, IEEE Sensors Letters, vol. 2, issue 4, (2018) article sequence no. 7001904.

R.R. Sharma, M. Kumar, and R.B. Pachori, Joint time-frequency domain based CAD disease sensing system using ECG signals, IEEE Sensors Journal (2019), In press.

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", 4th International Conference on Signal Processing and Integrated Networ

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 Pr

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 (MISP), 2018.

R.R. Sharma and K.V. Arya "Parameter optimization for HEVC/H.265 encoder using multi-objective optimization technique", 11th International Conference on Industrial and Information Systems (ICIIS 2016), 2016.

C.Bhardwaj, R.R. Sharma and K.V. Arya "Flag-bit based co-operative communication to avoid energy holes in Wireless Sensor Network", 11th International Conference on Industrial and Information Systems (ICIIS 2016), 2016.

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, 2019

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, 249-256, 2020.

R. Panda, S. Jain, R. K. Tripathy, R. R. Sharma, R. B. Pachori, Sliding mode singular spectrum analysis for the elimination of cross-terms in Wigner-Ville distribution, Circuits, Systems and Signal Processing, 40, 1207-1232.

R.R. Sharma, M. Kumar, S. Maheshwari, and K.P. Ray, EVDHM-ARIMA based time series forecasting model and its application for COVID-19 cases, IEEE Transactions on Instrumentation and Measurement, 70, 6502210, 2020

S. Maheshwari, R.R. Sharma, and M. Kumar, LBP-based information assisted intelligent system for COVID-19 identification, Computers in Biology and Medicine, 134, 104453, 2021.

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, 10-12/Oct/2019

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 Processin

R. Sharma, et al., "Sleep stages classification using DWT and dispersion entropy applied on EEG signals", CRC Press, 2020

S. Sharma and R.R. Sharma, Variational mode decomposition based finger flexion detection using ECoG signals, Artificial Intelligence based Brain Computer Interface (BCI), Elsevier, 2021