Optimization methods for designing sequences with low autocorrelation sidelobes J Song, P Babu, DP Palomar IEEE Transactions on Signal Processing 63 (15), 3998-4009, 2015 | 282 | 2015 |
Sequence design to minimize the weighted integrated and peak sidelobe levels J Song, P Babu, DP Palomar IEEE Transactions on Signal Processing 64 (8), 2051-2064, 2015 | 215 | 2015 |
Sequence set design with good correlation properties via majorization-minimization J Song, P Babu, DP Palomar IEEE Transactions on Signal Processing 64 (11), 2866-2879, 2016 | 177 | 2016 |
A unified framework for low autocorrelation sequence design via majorization–minimization L Zhao, J Song, P Babu, DP Palomar IEEE Transactions on Signal Processing 65 (2), 438-453, 2016 | 124 | 2016 |
Sparse generalized eigenvalue problem via smooth optimization J Song, P Babu, DP Palomar IEEE Transactions on Signal Processing 63 (7), 1627-1642, 2015 | 70 | 2015 |
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II X Wang, J Song, P Qi, P Peng, Z Tang, W Zhang, W Li, X Pi, J He, C Gao, ... International Conference on Machine Learning, 10905-10915, 2021 | 27 | 2021 |
Universal binary semidefinite relaxation for ML signal detection X Fan, J Song, DP Palomar, OC Au IEEE transactions on communications 61 (11), 4565-4576, 2013 | 17 | 2013 |
Sequence design to minimize the peak sidelobe level J Song, P Babu, DP Palomar 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 9 | 2016 |
Optimization methods for sequence design with low autocorrelation sidelobes J Song, P Babu, DP Palomar 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 7 | 2015 |
ML detection via SDP relaxation J Song, DP Palomar ELEC5470_lectures/15/slides_SDP_relaxation. pdf, 0 | 1 | |
A fast algorithm for sparse generalized eigenvalue problem J Song, P Babu, DP Palomar 2014 48th Asilomar Conference on Signals, Systems and Computers, 1652-1656, 2014 | | 2014 |