Articles with public access mandates - Prabhu BabuLearn more
Not available anywhere: 29
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
Mandates: Swedish Research Council
On the proper forms of BIC for model order selection
P Stoica, P Babu
IEEE Transactions on Signal Processing 60 (9), 4956-4961, 2012
Mandates: Swedish Research Council
Connection between SPICE and square-root LASSO for sparse parameter estimation
P Babu, P Stoica
Signal Processing 95, 10-14, 2014
Mandates: Swedish Research Council, European Commission
Model order estimation via penalizing adaptively the likelihood (PAL)
P Stoica, P Babu
Signal Processing 93 (11), 2865-2871, 2013
Mandates: Swedish Research Council
Maximum likelihood algorithm for time-delay based multistatic target localization
K Panwar, P Babu, P Stoica
IEEE Signal Processing Letters 29, 847-851, 2022
Mandates: Swedish Research Council
On the exponentially embedded family (EEF) rule for model order selection
P Stoica, P Babu
IEEE Signal Processing Letters 19 (9), 551-554, 2012
Mandates: Swedish Research Council
Parameter estimation of exponential signals: A system identification approach
P Stoica, P Babu
Digital Signal Processing 23 (5), 1565-1577, 2013
Mandates: Swedish Research Council
Maximum-likelihood nonparametric estimation of smooth spectra from irregularly sampled data
P Stoica, P Babu
IEEE Transactions on Signal Processing 59 (12), 5746-5758, 2011
Mandates: Swedish Research Council
Low-PAPR OFDM waveform design for radar and communication systems
P Varshney, P Babu, P Stoica
IEEE Transactions on Radar Systems 1, 69-74, 2023
Mandates: Swedish Research Council
Designing interference-immune doppler-tolerant waveforms for radar systems
R Amar, M Alaee-Kerahroodi, P Babu, BS MR
IEEE Transactions on Aerospace and Electronic Systems 59 (3), 2402-2421, 2022
Mandates: Luxembourg National Research Fund
Sequence design to minimize the peak sidelobe level
J Song, P Babu, DP Palomar
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
Mandates: Research Grants Council, Hong Kong
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
Mandates: Research Grants Council, Hong Kong
Algebraic derivation of Elfving theorem on optimal experiment design and some connections with sparse estimation
P Stoica, P Babu
IEEE Signal Processing Letters 17 (8), 743-745, 2010
Mandates: Swedish Research Council
p-Norm Minimization of Auto and Cross Correlation Sidelobes in MIMO Radars
E Raei, M Alaee-Kerahroodi, P Babu
2022 23rd International Radar Symposium (IRS), 92-97, 2022
Mandates: European Commission
Design of high-dimensional Grassmannian frames via block minorization maximization
R Jyothi, P Babu, P Stoica
IEEE Communications Letters 25 (11), 3624-3628, 2021
Mandates: Swedish Research Council
A low-complexity algorithm for OFDM phase noise estimation
Z Wang, P Babu, DP Palomar
2017 IEEE 18th International Workshop on Signal Processing Advances in …, 2017
Mandates: Research Grants Council, Hong Kong
A combined linear programming-maximum likelihood approach to radial velocity data analysis for extrasolar planet detection
P Babu, P Stoica
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
Mandates: Swedish Research Council
A sparse covariance-based method for direction of arrival estimation
P Stoica, P Babu, J Li
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
Mandates: Swedish Research Council
Comments on “Iterative Estimation of Sinusoidal Signal Parameters”
P Babu, P Stoica
IEEE Signal Processing Letters 17 (12), 1022-1023, 2010
Mandates: Swedish Research Council
Optimization based sensor placement for multi-target localization with coupling sensor clusters
L Wu, N Sahu, S Xu, P Babu, D Ciuonzo
IEEE Transactions on Signal and Information Processing over Networks, 2023
Mandates: National Natural Science Foundation of China
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