| Signal enhancement using beamforming and nonstationarity with applications to speech S Gannot, D Burshtein, E Weinstein IEEE Transactions on Signal Processing 49 (8), 1614-1626, 2001 | 884 | 2001 |
| Deep learning methods for improved decoding of linear codes E Nachmani, E Marciano, L Lugosch, WJ Gross, D Burshtein, Y Be’ery IEEE Journal of Selected Topics in Signal Processing 12 (1), 119-131, 2018 | 586 | 2018 |
| Learning to decode linear codes using deep learning E Nachmani, Y Be'ery, D Burshtein 2016 54th Annual Allerton Conference on Communication, Control, and …, 2016 | 580 | 2016 |
| Iterative and sequential Kalman filter-based speech enhancement algorithms S Gannot, D Burshtein, E Weinstein IEEE Transactions on speech and audio processing 6 (4), 373-385, 1998 | 376 | 1998 |
| Design and analysis of nonbinary LDPC codes for arbitrary discrete-memoryless channels A Bennatan, D Burshtein IEEE Transactions on Information Theory 52 (2), 549-583, 2006 | 321 | 2006 |
| Bounds on the maximum-likelihood decoding error probability of low-density parity-check codes G Miller, D Burshtein IEEE Transactions on Information Theory 47 (7), 2696-2710, 2001 | 239 | 2001 |
| Asymptotic enumeration methods for analyzing LDPC codes D Burshtein, G Miller IEEE Transactions on Information Theory 50 (6), 1115-1131, 2004 | 211 | 2004 |
| Large vocabulary natural language continuous speech recognition LR Bahl, R Bakis, J Bellegarda, PF Brown, D Burshtein, SK Das, ... International Conference on Acoustics, Speech, and Signal Processing,, 465-467, 1989 | 197 | 1989 |
| On the application of LDPC codes to arbitrary discrete-memoryless channels A Bennatan, D Burshtein IEEE Transactions on Information Theory 50 (3), 417-438, 2004 | 157 | 2004 |
| Robust parametric modeling of durations in hidden Markov models D Burshtein IEEE Transactions on Speech and Audio Processing 4 (3), 240-242, 1996 | 143 | 1996 |
| Superposition coding for side-information channels A Bennatan, D Burshtein, G Caire, S Shamai IEEE Transactions on Information Theory 52 (5), 1872-1889, 2006 | 129 | 2006 |
| RNN decoding of linear block codes E Nachmani, E Marciano, D Burshtein, Y Be'ery arXiv preprint arXiv:1702.07560, 2017 | 126 | 2017 |
| Support vector machine training for improved hidden markov modeling A Sloin, D Burshtein IEEE Transactions on Signal Processing 56 (1), 172-188, 2007 | 126 | 2007 |
| Expander graph arguments for message-passing algorithms D Burshtein, G Miller IEEE Transactions on Information Theory 47 (2), 782-790, 2001 | 125 | 2001 |
| Speech enhancement using a mixture-maximum model D Burshtein, S Gannot IEEE transactions on speech and audio processing 10 (6), 341-351, 2002 | 121 | 2002 |
| Efficient maximum-likelihood decoding of LDPC codes over the binary erasure channel D Burshtein, G Miller IEEE Transactions on Information Theory 50 (11), 2837-2844, 2004 | 111 | 2004 |
| A discriminative training algorithm for hidden Markov models A Ben-Yishai, D Burshtein IEEE Transactions on Speech and Audio Processing 12 (3), 204-217, 2004 | 83 | 2004 |
| Upper bounds on the rate of LDPC codes D Burshtein, M Krivelevich, S Litsyn, G Miller IEEE Transactions on Information Theory 48 (9), 2437-2449, 2002 | 83 | 2002 |
| Polar write once memory codes D Burshtein, A Strugatski IEEE Transactions on Information Theory 59 (8), 5088-5101, 2013 | 76 | 2013 |
| Iterative approximate linear programming decoding of LDPC codes with linear complexity D Burshtein IEEE Transactions on Information Theory 55 (11), 4835-4859, 2009 | 73 | 2009 |
