Alternating Least-Squares for Low-Rank Matrix Reconstruction D Zachariah, M Sundin, M Jansson, S Chatterjee Signal Processing Letters, IEEE 19 (4), 231-234, 2012 | 76 | 2012 |
Projection-Based and Look-Ahead Strategies for Atom Selection S Chatterjee, D Sundman, M Vehkapera, M Skoglund Signal Processing, IEEE Transactions on 60 (2), 634-647, 2012 | 74 | 2012 |
Analysis of Regularized LS Reconstruction and Random Matrix Ensembles in Compressed Sensing M Vehkaperä, Y Kabashima, S Chatterjee IEEE Transactions on Information Theory, 2016 | 72 | 2016 |
Analysis of regularized LS reconstruction and random matrix ensembles in compressed sensing M Vehkapera, Y Kabashima, S Chatterjee Information Theory (ISIT), 2014 IEEE International Symposium on, 3185-3189, 2014 | 72 | 2014 |
Distributed greedy pursuit algorithms D Sundman, S Chatterjee, M Skoglund Signal Processing 105, 298-315, 2014 | 62 | 2014 |
Look ahead orthogonal matching pursuit S Chatterjee, D Sundman, M Skoglund 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 61 | 2011 |
On MMSE estimation: A linear model under Gaussian mixture statistics JT Flam, S Chatterjee, K Kansanen, T Ekman IEEE Transactions on Signal Processing 60 (7), 3840-3845, 2012 | 60 | 2012 |
GMM based Bayesian approach to speech enhancement in signal/transform domain A Kundu, S Chatterjee, AS Murthy, TV Sreenivas 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008 | 58 | 2008 |
Greedy pursuits for compressed sensing of jointly sparse signals D Sundman, S Chatterjee, M Skoglund Proceedings of the European signal processing conference, 2011 | 53 | 2011 |
A greedy pursuit algorithm for distributed compressed sensing D Sundman, S Chatterjee, M Skoglund 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 49 | 2012 |
Predicting graph signals using kernel regression where the input signal is agnostic to a graph A Venkitaraman, S Chatterjee, P Händel IEEE Transactions on Signal and Information Processing over Networks 5 (4 …, 2019 | 47 | 2019 |
Fusion of algorithms for compressed sensing SK Ambat, S Chatterjee, KVS Hari IEEE Transactions on Signal Processing 61 (14), 3699-3704, 2013 | 45 | 2013 |
A ReLU dense layer to improve the performance of neural networks AM Javid, S Das, M Skoglund, S Chatterjee ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 41 | 2021 |
Gaussian processes over graphs A Venkitaraman, S Chatterjee, P Handel ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 40 | 2020 |
Sparse signal recovery using iterative proximal projection F Ghayem, M Sadeghi, M Babaie-Zadeh, S Chatterjee, M Skoglund, ... IEEE Transactions on Signal Processing 66 (4), 879-894, 2017 | 38 | 2017 |
Design and analysis of a greedy pursuit for distributed compressed sensing D Sundman, S Chatterjee, M Skoglund IEEE Transactions on Signal Processing 64 (11), 2803-2818, 2016 | 37 | 2016 |
Analysis-by-synthesis quantization for compressed sensing measurements A Shirazinia, S Chatterjee, M Skoglund IEEE transactions on signal processing 61 (22), 5789-5800, 2013 | 34 | 2013 |
Progressive learning for systematic design of large neural networks S Chatterjee, AM Javid, M Sadeghi, PP Mitra, M Skoglund arXiv preprint arXiv:1710.08177, 2017 | 33 | 2017 |
Dynamic iterative pursuit D Zachariah, S Chatterjee, M Jansson IEEE transactions on signal processing 60 (9), 4967-4972, 2012 | 29 | 2012 |
Optimum switched split vector quantization of LSF parameters S Chatterjee, TV Sreenivas Signal Processing 88 (6), 1528-1538, 2008 | 29 | 2008 |