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2010 – today
- 2018
[j34]Linlong Wu, Prabhu Babu, Daniel P. Palomar:
Transmit Waveform/Receive Filter Design for MIMO Radar With Multiple Waveform Constraints. IEEE Trans. Signal Processing 66(6): 1526-1540 (2018)- 2017
- [j33]Mudassir Masood, Ali Ghrayeb, Prabhu Babu, Issa Khalil, Mazen O. Hasna:
A Minorization-Maximization Algorithm for Maximizing the Secrecy Rate of the MIMOME Wiretap Channel. IEEE Communications Letters 21(3): 520-523 (2017) - [j32]Licheng Zhao, Junxiao Song, Prabhu Babu, Daniel P. Palomar:
A Unified Framework for Low Autocorrelation Sequence Design via Majorization-Minimization. IEEE Trans. Signal Processing 65(2): 438-453 (2017) - [j31]Linlong Wu, Prabhu Babu, Daniel P. Palomar:
Cognitive Radar-Based Sequence Design via SINR Maximization. IEEE Trans. Signal Processing 65(3): 779-793 (2017) - [j30]Ying Sun, Prabhu Babu, Daniel P. Palomar:
Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning. IEEE Trans. Signal Processing 65(3): 794-816 (2017) - [j29]Zhongju Wang, Prabhu Babu, Daniel P. Palomar:
Effective Low-Complexity Optimization Methods for Joint Phase Noise and Channel Estimation in OFDM. IEEE Trans. Signal Processing 65(12): 3247-3260 (2017) - [c22]Zhongju Wang, Prabhu Babu, Daniel P. Palomar:
A low-complexity algorithm for OFDM phase noise estimation. SPAWC 2017: 1-5 - [c21]Linlong Wu, Prabhu Babu, Daniel P. Palomar:
A fast algorithm for joint design of transmit waveforms and receive filters. SPAWC 2017: 1-5 - 2016
- [j28]Prabhu Babu:
MELT - Maximum-Likelihood Estimation of Low-Rank Toeplitz Covariance Matrix. IEEE Signal Process. Lett. 23(11): 1587-1591 (2016) - [j27]Ying Sun, Arnaud Breloy, Prabhu Babu, Daniel P. Palomar, Frédéric Pascal, Guillaume Ginolhac:
Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems. IEEE Trans. Signal Processing 64(8): 1986-1998 (2016) - [j26]Junxiao Song, Prabhu Babu, Daniel P. Palomar:
Sequence Design to Minimize the Weighted Integrated and Peak Sidelobe Levels. IEEE Trans. Signal Processing 64(8): 2051-2064 (2016) - [j25]Junxiao Song, Prabhu Babu, Daniel P. Palomar:
Sequence Set Design With Good Correlation Properties Via Majorization-Minimization. IEEE Trans. Signal Processing 64(11): 2866-2879 (2016) - [j24]Ying Sun, Prabhu Babu, Daniel Pérez Palomar:
Robust Estimation of Structured Covariance Matrix for Heavy-Tailed Elliptical Distributions. IEEE Trans. Signal Processing 64(14): 3576-3590 (2016) - [j23]Licheng Zhao, Prabhu Babu, Daniel P. Palomar:
Efficient Algorithms on Robust Low-Rank Matrix Completion Against Outliers. IEEE Trans. Signal Processing 64(18): 4767-4780 (2016) - [j22]Tianyu Qiu, Prabhu Babu, Daniel Pérez Palomar:
PRIME: Phase Retrieval via Majorization-Minimization. IEEE Trans. Signal Processing 64(19): 5174-5186 (2016) - [j21]Zhongju Wang, Prabhu Babu, Daniel P. Palomar:
Design of PAR-Constrained Sequences for MIMO Channel Estimation via Majorization-Minimization. IEEE Trans. Signal Processing 64(23): 6132-6144 (2016) - [j20]Konstantinos Benidis, Ying Sun, Prabhu Babu, Daniel P. Palomar:
Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation. IEEE Trans. Signal Processing 64(23): 6211-6226 (2016) - [c20]Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar:
Robust rank constrained kronecker covariance matrix estimation. ACSSC 2016: 810-814 - [c19]Arnaud Breloy, Ying Sun, Prabhu Babu, Daniel Pérez Palomar:
Block majorization-minimization algorithms for low-rank clutter subspace estimation. EUSIPCO 2016: 2186-2190 - [c18]Mudassir Masood, Ali Ghrayeb, Prabhu Babu, Issa M. Khalil, Mazen O. Hasna:
A minorization-maximization algorithm for an-based mimome secrecy rate maximization. GlobalSIP 2016: 975-980 - [c17]Junxiao Song, Prabhu Babu, Daniel Pérez Palomar:
Sequence design to minimize the peak sidelobe level. ICASSP 2016: 3896-3900 - [c16]Zhongju Wang, Prabhu Babu, Daniel P. Palomar:
Optimal design of constant-modulus channel training sequences. ICASSP 2016: 3901-3905 - [c15]Konstantinos Benidis, Ying Sun, Prabhu Babu, Daniel Pérez Palomar:
Orthogonal sparse eigenvectors: A procrustes problem. ICASSP 2016: 4683-4686 - [c14]Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar, Frédéric Pascal:
A robust signal subspace estimator. SSP 2016: 1-4 - [i6]Konstantinos Benidis, Ying Sun, Prabhu Babu, Daniel Pérez Palomar:
Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation. CoRR abs/1602.03992 (2016) - [i5]Zhongju Wang, Prabhu Babu, Daniel P. Palomar:
Design of PAR-Constrained Sequences for MIMO Channel Estimation via Majorization-Minimization. CoRR abs/1602.08877 (2016) - [i4]Zhongju Wang, Prabhu Babu, Daniel P. Palomar:
Effective Low-Complexity Optimization Methods for Joint Phase Noise and Channel Estimation in OFDM. CoRR abs/1610.01433 (2016) - 2015
- [j19]Junxiao Song, Prabhu Babu, Daniel Pérez Palomar:
Sparse Generalized Eigenvalue Problem Via Smooth Optimization. IEEE Trans. Signal Processing 63(7): 1627-1642 (2015) - [j18]Ying Sun, Prabhu Babu, Daniel Pérez Palomar:
Regularized Robust Estimation of Mean and Covariance Matrix Under Heavy-Tailed Distributions. IEEE Trans. Signal Processing 63(12): 3096-3109 (2015) - [j17]Junxiao Song, Prabhu Babu, Daniel Pérez Palomar:
Optimization Methods for Designing Sequences With Low Autocorrelation Sidelobes. IEEE Trans. Signal Processing 63(15): 3998-4009 (2015) - [c13]Licheng Zhao, Prabhu Babu, Daniel Pérez Palomar:
Robust low-rank optimization for large scale problems. ACSSC 2015: 391-395 - [c12]Tianyu Qiu, Prabhu Babu, Daniel Pérez Palomar:
PRIME: Phase retrieval via majorization-minimization technique. ACSSC 2015: 1681-1685 - [c11]Junxiao Song, Prabhu Babu, Daniel P. Palomar:
Optimization methods for sequence design with low autocorrelation sidelobes. ICASSP 2015: 3033-3037 - [c10]Ying Sun, Prabhu Babu, Daniel Pérez Palomar:
Robust estimation of structured covariance matrix for heavy-tailed distributions. ICASSP 2015: 5693-5697 - [i3]Junxiao Song, Prabhu Babu, Daniel Pérez Palomar:
Optimization Methods for Designing Sequences with Low Autocorrelation Sidelobes. CoRR abs/1501.02252 (2015) - [i2]Tianyu Qiu, Prabhu Babu, Daniel Pérez Palomar:
PRIME: Phase Retrieval via Majorization-Minimization. CoRR abs/1511.01669 (2015) - 2014
- [j16]Prabhu Babu, Petre Stoica:
Connection between SPICE and Square-Root LASSO for sparse parameter estimation. Signal Processing 95: 10-14 (2014) - [j15]Ying Sun, Prabhu Babu, Daniel P. Palomar:
Regularized Tyler's Scatter Estimator: Existence, Uniqueness, and Algorithms. IEEE Trans. Signal Processing 62(19): 5143-5156 (2014) - [c9]Junxiao Song, Prabhu Babu, Daniel P. Palomar:
A fast algorithm for sparse generalized eigenvalue problem. ACSSC 2014: 1652-1656 - [c8]Ying Sun, Prabhu Babu, Daniel Pérez Palomar:
Regularized robust estimation of mean and covariance matrix under heavy tails and outliers. SAM 2014: 125-128 - [i1]Junxiao Song, Prabhu Babu, Daniel Pérez Palomar:
Sparse Generalized Eigenvalue Problem via Smooth Optimization. CoRR abs/1408.6686 (2014) - 2013
- [j14]Petre Stoica, Prabhu Babu:
Parameter estimation of exponential signals: A system identification approach. Digital Signal Processing 23(5): 1565-1577 (2013) - [j13]Petre Stoica, Prabhu Babu:
Model order estimation via penalizing adaptively the likelihood (PAL). Signal Processing 93(11): 2865-2871 (2013) - 2012
- [j12]Petre Stoica, Prabhu Babu:
SPICE and LIKES: Two hyperparameter-free methods for sparse-parameter estimation. Signal Processing 92(7): 1580-1590 (2012) - [j11]Petre Stoica, Prabhu Babu:
On the Exponentially Embedded Family (EEF) Rule for Model Order Selection. IEEE Signal Process. Lett. 19(9): 551-554 (2012) - [j10]Petre Stoica, Prabhu Babu:
Sparse Estimation of Spectral Lines: Grid Selection Problems and Their Solutions. IEEE Trans. Signal Processing 60(2): 962-967 (2012) - [j9]Petre Stoica, Prabhu Babu:
On the Proper Forms of BIC for Model Order Selection. IEEE Trans. Signal Processing 60(9): 4956-4961 (2012) - [c7]Prabhu Babu, Petre Stoica:
Sparse spectral-line estimation for nonuniformly sampled multivariate time series: SPICE, LIKES and MSBL. EUSIPCO 2012: 445-449 - [c6]Niclas Sandgren, Petre Stoica, Prabhu Babu:
On moving average parameter estimation. EUSIPCO 2012: 2348-2351 - 2011
- [j8]Petre Stoica, Prabhu Babu:
The Gaussian Data Assumption Leads to the Largest Cramér-Rao Bound [Lecture Notes]. IEEE Signal Process. Mag. 28(3): 132-133 (2011) - [j7]Petre Stoica, Prabhu Babu, Jian Li:
New Method of Sparse Parameter Estimation in Separable Models and Its Use for Spectral Analysis of Irregularly Sampled Data. IEEE Trans. Signal Processing 59(1): 35-47 (2011) - [j6]Petre Stoica, Prabhu Babu, Jian Li:
SPICE: A Sparse Covariance-Based Estimation Method for Array Processing. IEEE Trans. Signal Processing 59(2): 629-638 (2011) - [j5]Petre Stoica, Prabhu Babu:
Maximum-Likelihood Nonparametric Estimation of Smooth Spectra From Irregularly Sampled Data. IEEE Trans. Signal Processing 59(12): 5746-5758 (2011) - [c5]Petre Stoica, Prabhu Babu, Jian Li:
A sparse covariance-based method for direction of arrival estimation. ICASSP 2011: 2844-2847 - [c4]Prabhu Babu, Petre Stoica:
A combined linear programming-maximum likelihood approach to radial velocity data analysis for extrasolar planet detection. ICASSP 2011: 4352-4355 - 2010
- [j4]Prabhu Babu, Petre Stoica:
Spectral analysis of nonuniformly sampled data - a review. Digital Signal Processing 20(2): 359-378 (2010) - [j3]Prabhu Babu, Kristiaan Pelckmans, Petre Stoica, Jian Li:
Linear Systems, Sparse Solutions, and Sudoku. IEEE Signal Process. Lett. 17(1): 40-42 (2010) - [j2]Petre Stoica, Prabhu Babu:
Algebraic Derivation of Elfving Theorem on Optimal Experiment Design and Some Connections With Sparse Estimation. IEEE Signal Process. Lett. 17(8): 743-745 (2010) - [j1]Prabhu Babu, Petre Stoica:
Comments on "Iterative Estimation of Sinusoidal Signal Parameters". IEEE Signal Process. Lett. 17(12): 1022-1023 (2010) - [c3]Prabhu Babu, Petre Stoica, Jian Li:
Modeling Radial Velocity Signals for Exoplanet Search Applications. ICINCO (3) 2010: 155-159
2000 – 2009
- 2009
- [c2]Prabhu Babu, Petre Stoica, Thomas L. Marzetta:
An IQML type algorithm for AR parameter estimation from noisy covariance sequences. EUSIPCO 2009: 1022-1026 - 2008
- [c1]Prabhu Babu, Erik Gudmundson, Petre Stoica:
Automatic cepstrum-based smoothing of the periodogram via cross-validation. EUSIPCO 2008: 1-5
Coauthor Index
Daniel Pérez Palomar
aka: Daniel P. Palomar
aka: Daniel P. Palomar
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