| Lorentzian Based Adaptive Filters for Impulsive Noise Environments RL Das, M Narwaria IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS–I: REGULAR PAPERS, 2017 | 67 | 2017 |
| HMM based offline handwritten writer independent English character recognition using global and local feature extraction RL Das, BK Prasad, G Sanyal International Journal of Computer Applications 46 (10), 45-50, 2012 | 54 | 2012 |
| Improving the Performance of the PNLMS Algorithm Using l1 Norm Regularization RL Das, M. Chakraborty IEEE/ACM Transaction on Audio, Speech and Language Processing 24 (7), 1280-1290, 2016 | 53 | 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 | 42 | 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 |
| 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 | 29 | 2012 |
| Masking based segmentation of diseased MRI images A De, RL Das, AK Bhattacharjee, D Sharma 2010 International Conference on Information Science and Applications, 1-7, 2010 | 25 | 2010 |
| A Zero Attracting Proportionate Normalized Least Mean Square Algorithm RL Das, M Chakraborty Signal & Information Processing Association Annual Summit and Conference …, 2012 | 16 | 2012 |
| Factors affecting effective online teaching transition in Asian universities during COVID-19 R Das, DP Meredith Journal of University Teaching & Learning Practice 18 (8), 08, 2021 | 15 | 2021 |
| Performance analysis of proportionate-type LMS algorithms VC Gogineni, S Mula, RL Das, M Chakraborty 2016 Signal Processing: Algorithms, Architectures, Arrangements, and …, 2016 | 11 | 2016 |
| An adaptive upper threshold based gain function for the ZA-PNLMS algorithm RL Das, V Trivedi IEEE Transactions on Circuits and Systems II: Express Briefs 67 (10), 2274-2278, 2019 | 8 | 2019 |
| Sparse Adaptive Filtering by Iterative Hard Thresholding RL Das, M Chakraborty | 3 | 2013 |
| Students' Adoption of Google Classroom Investigated by Technology Acceptance Model RL Das MIER Journal of Educational Studies Trends and Practices, 98-113, 2023 | 2 | 2023 |
| Zero attracting PNLMS algorithm and its convergence in mean RL Das, M Chackraborty arXiv preprint arXiv:1507.02921, 2015 | 2 | 2015 |
| Proportionate-type hard thresholding adaptive filter for sparse system identification VC Gogineni, RL Das, M Chakraborty Signal and Information Processing Association Annual Summit and Conference …, 2014 | 2 | 2014 |
| Factors affecting effective online teaching transition in Asian universities during COVID-19 crisis RC Das, DP Meredith Project: Learning through RLD World, 2021 | 1 | 2021 |
| Improving Steady-State Performance of the UT-ZA-PNLMS Algorithm for Sparse Systems KSS Anudeep, K Khoria, RL Das 2020 International Conference on Signal Processing and Communications (SPCOM …, 2020 | 1 | 2020 |
| ℓ1/ℓ0 Regularized Conjugate Gradient Based Sparse Adaptive Algorithms RL Das 2020 International Conference on Signal Processing and Communications (SPCOM …, 2020 | 1 | 2020 |
| A variable step-size zero attracting proportionate normalized least mean square algorithm RL Das, M Chakraborty 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 1187-1190, 2014 | 1 | 2014 |
| Improving the performance of the LMS algorithm via cooperative learning RL Das, BK Das, M Chakraborty 2013 National Conference on Communications (NCC), 1-5, 2013 | 1 | 2013 |
Mrityunjoy Chakraborty (Latest)Professor, E & ECE, IIT, KharagpurVerified email at ece.iitkgp.ernet.in
