Impact of water deficit stress in maize: Phenology and yield components RP Sah, M Chakraborty, K Prasad, M Pandit, VK Tudu, MK Chakravarty, ... Scientific reports 10 (1), 2944, 2020 | 311 | 2020 |
Sparse adaptive filtering by an adaptive convex combination of the LMS and the ZA-LMS algorithms BK Das, M Chakraborty IEEE Transactions on Circuits and Systems I: Regular Papers 61 (5), 1499-1507, 2014 | 95 | 2014 |
Convergence analysis of a complex LMS algorithm with tonal reference signals M Chakraborty, H Sakai IEEE transactions on speech and audio processing 13 (2), 286-292, 2005 | 57 | 2005 |
Improving the Performance of the PNLMS Algorithm UsingNorm Regularization RL Das, M Chakraborty IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (7), 1280 …, 2016 | 56 | 2016 |
On convergence of proportionate-type normalized least mean square algorithms RL Das, M Chakraborty IEEE Transactions on Circuits and Systems II: Express Briefs 62 (5), 491-495, 2014 | 45 | 2014 |
Improving the bound on the RIP constant in generalized orthogonal matching pursuit S Satpathi, RL Das, M Chakraborty IEEE Signal Processing Letters 20 (11), 1074-1077, 2013 | 39 | 2013 |
A block floating-point treatment to the LMS algorithm: efficient realization and a roundoff error analysis A Mitra, M Chakraborty, H Sakai IEEE Transactions on Signal Processing 53 (12), 4536-4544, 2005 | 32 | 2005 |
Sparse adaptive filters-an overview and some new results RL Das, M Chakraborty 2012 IEEE International Symposium on Circuits and Systems (ISCAS), 2745-2748, 2012 | 31 | 2012 |
A trigonometric formulation of the LMS algorithm for realization on pipelined CORDIC M Chakraborty, AS Dhar, MH Lee IEEE Transactions on Circuits and Systems II: Express Briefs 52 (9), 530-534, 2005 | 29 | 2005 |
A convex combination of NLMS and ZA-NLMS for identifying systems with variable sparsity BK Das, GV Chakravarthi, M Chakraborty IEEE Transactions on Circuits and Systems II: Express Briefs 64 (9), 1112-1116, 2017 | 24 | 2017 |
New adaptive algorithm for delay estimation of sinusoidal signals M Chakraborty, HC So, J Zheng IEEE Signal Processing Letters 14 (12), 984-987, 2007 | 20 | 2007 |
A block-floating-point-based realization of the block LMS algorithm M Chakraborty, R Shaik, MH Lee IEEE Transactions on Circuits and Systems II: Express Briefs 53 (9), 812-816, 2006 | 17 | 2006 |
An efficient algorithm for solving general periodic Toeplitz systems M Chakraborty IEEE Transactions on Signal Processing 46 (3), 784-787, 1998 | 17 | 1998 |
On the number of iterations for convergence of CoSaMP and Subspace Pursuit algorithms S Satpathi, M Chakraborty Applied and Computational Harmonic Analysis 43 (3), 568-576, 2017 | 16 | 2017 |
A zero attracting proportionate normalized least mean square algorithm RL Das, M Chakraborty Proceedings of The 2012 Asia Pacific Signal and Information Processing …, 2012 | 16 | 2012 |
A comparative study of two popular families of sparsity-aware adaptive filters BK Das, LA Azpicueta-Ruiz, M Chakraborty, J Arenas-García 2014 4th international workshop on cognitive information processing (CIP), 1-6, 2014 | 15 | 2014 |
A new adaptive filter for estimating and tracking the delay and the amplitude of a sinusoid M Chakraborty IEEE Transactions on Instrumentation and Measurement 59 (11), 3049-3057, 2010 | 14 | 2010 |
A block floating-point realization of the gradient adaptive lattice filter M Chakraborty, A Mitra IEEE Signal Processing Letters 12 (4), 265-268, 2005 | 14 | 2005 |
A SPT treatment to the realization of the sign-LMS based adaptive filters S Choudhary, P Mukherjee, M Chakraborty, SS Rath IEEE Transactions on Circuits and Systems I: Regular Papers 59 (9), 2025-2033, 2012 | 13 | 2012 |
Sparse distributed estimation via heterogeneous diffusion adaptive networks BK Das, M Chakraborty, J Arenas-García IEEE Transactions on Circuits and Systems II: Express Briefs 63 (11), 1079-1083, 2016 | 12 | 2016 |