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Jeevan Pant
Jeevan Pant
Research Associate, Ryerson University
Verified email at ryerson.ca
Title
Cited by
Cited by
Year
New Improved Algorithms for Compressive Sensing Based on ℓp Norm.
JK Pant, WS Lu, A Antoniou
IEEE Trans. on Circuits and Systems 61 (3), 198-202, 2014
89*2014
Compressive sensing of electrocardiogram signals by promoting sparsity on the second-order difference and by using dictionary learning
JK Pant, S Krishnan
IEEE transactions on biomedical circuits and systems 8 (2), 293-302, 2013
532013
Reconstruction of sparse signals by minimizing a re-weighted approximate ℓ0-norm in the null space of the measurement matrix
JK Pant, WS Lu, A Antoniou
Circuits and Systems (MWSCAS), 2010 53rd IEEE International Midwest …, 2010
442010
Unconstrained regularized ℓp-norm based algorithm for the reconstruction of sparse signals
JK Pant, WS Lu, A Antoniou
2011 IEEE International Symposium of Circuits and Systems (ISCAS), 1740-1743, 2011
322011
Reconstruction of ECG signals for compressive sensing by promoting sparsity on the gradient
JK Pant, S Krishnan
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
252013
Compressive sensing of foot gait signals and its application for the estimation of clinically relevant time series
JK Pant, S Krishnan
IEEE Transactions on Biomedical Engineering 63 (7), 1401-1415, 2015
142015
Recovery of sparse signals from noisy measurements using an ℓpregularized least-squares algorithm
JK Pant, WS Lu, A Antoniou
Proceedings of 2011 IEEE Pacific Rim Conference on Communications, Computers …, 2011
122011
An evaluation of performance for an independent SSVEP-BCI based on compressive sensing system
RG Tello, JK Pant, SM Müller, S Krishnan, TF Bastos-Filho
World Congress on Medical Physics and Biomedical Engineering, June 7-12 …, 2015
112015
Compressive sensing of ECG signals based on mixed pseudonorm of the first-and second-order differences
JK Pant, S Krishnan
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
82014
Two-pass ℓp-regularized least-squares algorithm for compressive sensing
JK Pant, S Krishnan
2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017
72017
Reconstruction of block-sparse signals by using an l2/p-regularized least-squares algorithm
JK Pant, WS Lu, A Antoniou
2012 IEEE International Symposium on Circuits and Systems (ISCAS), 277-280, 2012
72012
Robust QRS detection for HRV estimation from compressively sensed ECG measurements for remote health-monitoring systems
JK Pant, S Krishnan
Physiological Measurement 39 (3), 035002, 2018
62018
A new algorithm for compressive sensing based on total-variation norm
JK Pant, WS Lu, A Antoniou
2013 IEEE International Symposium on Circuits and Systems (ISCAS), 1352-1355, 2013
62013
Efficient compressive sensing of ECG segments based on machine learning for QRS-based arrhythmia detection
JK Pant, S Krishnan
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
42016
Foot gait time series estimation based on support vector machine
JK Pant, S Krishnan
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
42014
Compressive sensing using lp optimization
JK Pant
University of Victoria (Canada), 2012
32012
Group sparse structure and elastic-net regularization for compressive sensing of pulse-type physiological signals
JK Pant, S Krishnan
Biomedical Signal Processing and Control 57, 101685, 2020
22020
First-order difference energy regularization for enhancing reconstruction performance in compressive sensing of foot-gait signals
JK Pant, S Krishnan
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
22018
Performance of compressive sensing for the reconstruction of different QRS pulses in ECG signals
JK Pant, S Krishnan
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
22017
Compressive sensing of foot-gait signals by enhancing group block-sparse structure on the first-order difference
JK Pant, S Krishnan
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
22016
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