| Majorization-minimization algorithms in signal processing, communications, and machine learning Y Sun, P Babu, DP Palomar IEEE Transactions on Signal Processing 65 (3), 794-816, 2016 | 1402 | 2016 |
| SPICE: A sparse covariance-based estimation method for array processing P Stoica, P Babu, J Li IEEE Transactions on Signal Processing 59 (2), 629-638, 2010 | 603 | 2010 |
| 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 | 328 | 2015 |
| New method of sparse parameter estimation in separable models and its use for spectral analysis of irregularly sampled data P Stoica, P Babu, J Li IEEE Transactions on Signal Processing 59 (1), 35-47, 2010 | 289 | 2010 |
| 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 | 261 | 2015 |
| Transmit waveform/receive filter design for MIMO radar with multiple waveform constraints L Wu, P Babu, DP Palomar IEEE Transactions on Signal Processing 66 (6), 1526-1540, 2017 | 207 | 2017 |
| Spectral analysis of nonuniformly sampled data–a review P Babu, P Stoica Digital Signal Processing 20 (2), 359-378, 2010 | 205 | 2010 |
| 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 | 201 | 2016 |
| SPICE and LIKES: Two hyperparameter-free methods for sparse-parameter estimation P Stoica, P Babu Signal Processing 92 (7), 1580-1590, 2012 | 199 | 2012 |
| 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 | 143 | 2016 |
| Robust estimation of structured covariance matrix for heavy-tailed elliptical distributions Y Sun, P Babu, DP Palomar IEEE Transactions on Signal Processing 64 (14), 3576-3590, 2016 | 108 | 2016 |
| Sparse estimation of spectral lines: Grid selection problems and their solutions P Stoica, P Babu IEEE Transactions on Signal Processing 60 (2), 962-967, 2011 | 94 | 2011 |
| Cognitive radar-based sequence design via SINR maximization L Wu, P Babu, DP Palomar IEEE Transactions on Signal Processing 65 (3), 779-793, 2016 | 92 | 2016 |
| The Gaussian data assumption leads to the largest Cramér-Rao bound [lecture notes] P Stoica, P Babu IEEE Signal Processing Magazine 28 (3), 132-133, 2011 | 79 | 2011 |
| Regularized Tyler's scatter estimator: Existence, uniqueness, and algorithms Y Sun, P Babu, DP Palomar IEEE Transactions on Signal Processing 62 (19), 5143-5156, 2014 | 74 | 2014 |
| Sparse generalized eigenvalue problem via smooth optimization J Song, P Babu, DP Palomar IEEE Transactions on Signal Processing 63 (7), 1627-1642, 2015 | 73 | 2015 |
| PRIME: Phase retrieval via majorization-minimization T Qiu, P Babu, DP Palomar IEEE Transactions on Signal Processing 64 (19), 5174-5186, 2016 | 67 | 2016 |
| Orthogonal sparse PCA and covariance estimation via procrustes reformulation K Benidis, Y Sun, P Babu, DP Palomar IEEE Transactions on Signal Processing 64 (23), 6211-6226, 2016 | 59 | 2016 |
| Low-complexity algorithms for low rank clutter parameters estimation in radar systems Y Sun, A Breloy, P Babu, DP Palomar, F Pascal, G Ginolhac IEEE Transactions on Signal Processing 64 (8), 1986-1998, 2015 | 59 | 2015 |
| On the proper forms of BIC for model order selection P Stoica, P Babu IEEE Transactions on Signal Processing 60 (9), 4956-4961, 2012 | 57 | 2012 |
Daniel P. PalomarDepartment of Electronic & Computer Engineering, Department of Industrial Eng. & Decision Analytics在 ust.hk 的电子邮件经过验证
