| 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 | 96 | 2014 |
| 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 |
| 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 |
| 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 |
| Adaptive identification of sparse systems with variable sparsity BK Das, M Chakraborty, S Banerjee Circuits and Systems (ISCAS), 2011 IEEE International Symposium on, 1267-1270, 2011 | 12 | 2011 |
| Block-sparsity-induced system identification using efficient adaptive filtering BK Das, A Mukherjee, M Chakraborty 2020 National Conference on Communications (NCC), 1-6, 2020 | 6 | 2020 |
| Improved‐RLS adaptive filter BK Das, M Chakraborty Electronics Letters 53 (25), 1650-1651, 2017 | 6 | 2017 |
| Sparse distributed learning via heterogeneous diffusion adaptive networks BK Das, M Chakraborty, J Arenas-García 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 437-440, 2015 | 5 | 2015 |
| An adaptive convex combination of APA and ZA-APA for identifying systems having variable sparsity and correlated input VC Gogineni, BK Das, M Chakraborty Digital Signal Processing 82, 118-132, 2018 | 4 | 2018 |
| Robust adaptive filtering via convex combination of l0-RLS adaptive filters BK Das, S Mukhopadhyay, M Chakraborty 2018 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2018 | 3 | 2018 |
| A block-based convex combination of NLMS and ZA-NLMS for identifying sparse systems with variable sparsity BK Das, M Chakraborty 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017 | 3 | 2017 |
| A new diffusion sparse RLS algorithm with improved convergence characteristics BK Das, M Chakraborty 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2651-2654, 2016 | 3 | 2016 |
| Impact of Reference Microphone Selection on Binaural Cue Preservation for Directional Sources in Multi-microphone Hearing Aids DM Baruah, S Senchowa, BK Das 2023 IEEE Guwahati Subsection Conference (GCON), 1-5, 2023 | 2 | 2023 |
| Low SNR Spatially Sparse Channel Estimation in Millimeterwave Hybrid MIMO Systems based on Adaptive Filtering Framework BK Das IEEE Applied Signal Processing Conference (ASPCON), 2020 | 2 | 2020 |
| Gradient Comparator Least Mean Square Algorithm for Identification of Sparse Systems with Variable Sparsity BK Das, M Chakraborty APSIPA ASC, 2011 | 2 | 2011 |
| Sparsity Aware Fast Block LMS Algorithms for MIMO Radar Imaging R Saha, BK Das, M Chakraborty 2018 IEEE International Workshop on Signal Processing Systems (SiPS), 217-222, 2018 | 1 | 2018 |
| Convergence Analysis of l0-RLS Adaptive Filter BK Das, S Mukhopadhyay, M Chakraborty arXiv preprint arXiv:1710.09259, 2017 | 1 | 2017 |
| Adaptive Combination of l0 LMS Adaptive Filters for Sparse System Identification in Fluctuating Noise Power BK Das, M Chakraborty arXiv preprint arXiv:1605.02878, 2016 | 1 | 2016 |
| Performance Analysis of Norm Constrained Recursive Least Squares Algorithm S Mukhopadhyay, BK Das, M Chakraborty arXiv preprint arXiv:1602.03283, 2016 | 1 | 2016 |
| On steady state tracking performance of adaptive networks BK Das, LAA Ruiz, M Chakraborty, J Arenas-García 2015 IEEE International Conference on Digital Signal Processing (DSP), 843-847, 2015 | 1 | 2015 |
Mrityunjoy Chakraborty (Latest)Professor, E & ECE, IIT, KharagpurVerified email at ece.iitkgp.ernet.in
