Publications

K. N. Faisal, H. S. Mir and R. R. Sharma, "Human Activity Recognition From FMCW Radar Signals Utilizing Cross-Terms Free WVD," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2023.3344100. [Link]

V. K. Kashyap, R. R. Sharma, and R. B. Pachori "Complex flexible analytic wavelet transform for UAV state identification using RF signal " in IEEE Transactions on Aerospace and Electronics Systems, doi: 10.1109/TAES.2023.3338599. [Link]

R.R. Sharma, G. Arvind, and R. Dubey, "Radar based Automated System for People Walk Identification using Correlation Information and Flexible Analytic Wavelet Transform " in Applied Intelligence, 2023.  

S. Sharma, A. Shedsale, and R.R. Sharma, "Multivariate Fast Iterative Filtering based Automated System for Grasp Motor Imagery Identification using EEG Signals" in International Journal of Human-Computer Interaction, 2023. 

S. Sharma and R.R. Sharma, "sEMG-Based Small Rotation Invariant Gesture Recognition Using Multivariate Fast Iterative Filtering"  in IEEE Sensors Letters, 2023.   [Link]

K. N. Faisal and R. R. Sharma, "Successive variational mode decomposition-based enhanced Wigner-Ville distribution for seismo-volcanic events identification," in Journal of Volcanology and Geothermal Research, June 2023. [Link]

R. R. Sharma, K. A. Kumar and S. H. Cho, "Novel Time-Distance Parameters Based Hand Gesture Recognition System Using Multi-UWB Radars," in IEEE Sensors Letters, vol. 7, no. 5, pp. 1-4, May 2023. [Link]

U. Sharma, K. N. Faisal, R. R. Sharma, and K. V Arya, “Facial Landmark-Based Human Emotion Recognition Technique for Oriented Viewpoints in the Presence of Facial Attributes,” SN Comput. Sci., vol. 4, no. 3, p. 273, 2023. [Link]

Bhagat, B.B., Sharma, R.R. and Tilante, D., 2023. Moving camera-based automated system for drone identification using focus measures. Signal, Image and Video Processing, pp.1-8.  [Link]

Dubey, R., Sharma, R.R., Upadhyay, A. and Pachori, R.B., 2023. Automated Variational Non-linear Chirp Mode Decomposition for Bearing Fault Diagnosis. IEEE Transactions on Industrial Informatics. [Link]

Kaushik, G., Gaur, P., Sharma, R.R. and Pachori, R.B., 2022. EEG signal based seizure detection focused on Hjorth parameters from tunable-Q wavelet sub-bands. Biomedical Signal Processing and Control, 76, p.103645. [Link]

Iyer, A., Das, S.S., Teotia, R., Maheshwari, S. and Sharma, R.R., 2023. CNN and LSTM based ensemble learning for human emotion recognition using EEG recordings. Multimedia Tools and Applications, 82(4), pp.4883-4896. [Link]

Maheshwari, S., Sharma, R.R. and Kumar, M., 2021. LBP-based information assisted intelligent system for COVID-19 identification. Computers in biology and medicine, 134, p.104453. [Link]

Panda, R., Jain, S., Tripathy, R.K., Sharma, R.R. and Pachori, R.B., 2021. Sliding mode singular spectrum analysis for the elimination of cross-terms in Wigner–Ville distribution. Circuits, Systems, and Signal Processing, 40(3), pp.1207-1232. [Link]

Sharma, R.R., Kumar, M., Maheshwari, S. and Ray, K.P., 2020. EVDHM-ARIMA-based time series forecasting model and its application for COVID-19 cases. IEEE Transactions on Instrumentation and Measurement, 70, pp.1-10. [Link]

Sharma, R.R., Kalyani, A. and Pachori, R.B., 2020. An empirical wavelet transform-based approach for cross-terms-free Wigner–Ville distribution. Signal, Image and Video Processing, 14, pp.249-256. [Link]

Sharma, R.R., Kumar, A., Pachori, R.B. and Acharya, U.R., 2019. Accurate automated detection of congestive heart failure using eigenvalue decomposition based features extracted from HRV signals. Biocybernetics and Biomedical Engineering, 39(2), pp.312-327. [Link]

Sharma, R.R., Kumar, M. and Pachori, R.B., 2019. Joint time-frequency domain-based CAD disease sensing system using ECG signals. IEEE Sensors Journal, 19(10), pp.3912-3920. [Link]

Sharma, R.R., Varshney, P., Pachori, R.B. and Vishvakarma, S.K., 2018. Automated system for epileptic EEG detection using iterative filtering. IEEE Sensors Letters, 2(4), pp.1-4. [Link]

Sharma, R.R. and Pachori, R.B., 2018. Improved eigenvalue decomposition-based approach for reducing cross-terms in Wigner–Ville distribution. Circuits, Systems, and Signal Processing, 37, pp.3330-3350. [Link]

Sharma, R.R. and Pachori, R.B., 2018. Baseline wander and power line interference removal from ECG signals using eigenvalue decomposition. Biomedical Signal Processing and Control, 45, pp.33-49. [Link]

Sharma, R.R. and Pachori, R.B., 2018. Eigenvalue decomposition of Hankel matrix-based time-frequency representation for complex signals. Circuits, Systems, and Signal Processing, 37, pp.3313-3329. [Link]

Sharma, R.R. and Pachori, R.B., 2018. Time–frequency representation using IEVDHM–HT with application to classification of epileptic EEG signals. IET Science, Measurement & Technology, 12(1), pp.72-82. [Link]

S. Sharma and R. R. Sharma, "Biometric Authentication from sEMG: Assessing the Potential of Adaptive Chirp Mode Decomposition", in 56th Annual International Carnahan Conference on Security Technology (ICCST 2023), DIAT Pune, India (11-15 October, 2023).

Nithya k, S. Sharma  and R. R. Sharma, "Eigenvalues of Hankel Matrix based Epilepsy Detection using EEG Signals," in 2nd International Conference on the Paradigm shifts in Communication, Embedded Systems, Machine Learning and Signal Processing, 2023

K. N. Faisal and R. R. Sharma, "Cross-term Reduction in WVD using Sliding Window-based Variational Mode Decomposition," in 10th International Conference on Signal Processing & Integrated Networks, 2023

K. N. Faisal and R. R. Sharma, "Suppression of False-terms in Wigner-Ville Distribution using Time and Frequency Windowing," in 2nd International Conference on the Paradigm shifts in Communication, Embedded Systems, Machine Learning and Signal Processing, 2023. [Best Male Student Paper Award]

Meena, P., Sharma, R.R. and Pachori, R.B., 2019, October. Cross-term suppression in the Wigner-Ville distribution using variational mode decomposition. In 2019 5th International conference on signal processing, computing and control (ISPCC) (pp. 323-328). IEEE. [Link]

Sharma, R.R. and Pachori, R.B., 2017, February. A new method for non-stationary signal analysis using eigenvalue decomposition of the Hankel matrix and Hilbert transform. In 2017 4th International Conference on Signal Processing and Integrated Networks (SPIN) (pp. 484-488). IEEE. [Link]

Sharma, R.R. and Arya, K.V., 2016, December. Parameter optimization for HEVC/H. 265 encoder using multi-objective optimization technique. In 2016 11th International Conference on Industrial and Information Systems (ICIIS) (pp. 592-597). IEEE. [Link]

Bhardwaj, C., Sharma, R.R. and Arya, K.V., 2016, December. Flag-bit based co-operative communication to avoid energy holes in Wireless Sensor Network. In 2016 11th International Conference on Industrial and Information Systems (ICIIS) (pp. 753-758). IEEE. [Link]

Sharma, S. and Sharma, R.R., 2022. Variational mode decomposition-based finger flexion detection using ecog signals. In Artificial Intelligence-Based Brain-Computer Interface (pp. 261-282). Academic Press. [Link]

Sharma, R.R., Kumar, M. and Pachori, R.B., 2020. Classification of EMG signals using eigenvalue decomposition-based time-frequency representation. In Biomedical and Clinical Engineering for Healthcare Advancement (pp. 96-118). IGI Global. [Link]

Sharma, R.R., Meena, P. and Pachori, R.B., 2020. Enhanced time–frequency representation based on variational mode decomposition and wigner–ville distribution. Recent Trends in Image and Signal Processing in Computer Vision, pp.265-284. [Link]

Sharma, R.R., Kumar, M. and Pachori, R.B., 2019. Automated CAD identification system using time–frequency representation based on eigenvalue decomposition of ECG signals. In Machine intelligence and signal analysis (pp. 597-608). Springer Singapore. [Link]

Sharma, R.R., Chandra, P. and Pachori, R.B., 2019. Electromyogram signal analysis using eigenvalue decomposition of the Hankel matrix. In Machine Intelligence and Signal Analysis (pp. 671-682). Springer Singapore. [Link]

Sharma, R., Sahu, S.S., Upadhyay, A., Sharma, R.R. and Sahoo, A.K., 2021. Sleep stage classification using DWT and dispersion entropy applied on EEG signals. In Computer-aided design and diagnosis methods for biomedical applications (pp. 35-56). CRC Press. [Link]

K. P. Ray, S. Banerjee, S. S. Patil, R. R. Sharma, and H. S Panda, "Establishing the idea of use of high power microwave to disintegrate the novel corona virus (COVID-19), (Filed through DRDO in May 2020).

K. P. Ray, S. S. Patil, S. Banerjee, R. R. Sharma, S. Kumar and B. K. Pande, “Microwave Sterilizer (‘ATULYA’) to disintegrate the novel corona virus (COVID-19)” (Filed through DRDO in August 2020).