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Prabhu Babu
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2020 – today
- 2024
- [j69]Petre Stoica
, Prabhu Babu:
Pearson-Matthews correlation coefficients for binary and multinary classification. Signal Process. 222: 109511 (2024) - [j68]Pushpendra Rajpurohit
A Block Minorization-Maximization Algorithm for Row-Sparse Principal Component Analysis. IEEE Signal Process. Lett. 31: 1905-1909 (2024) - [j67]Ghania Fatima
Two New Algorithms for Maximum Likelihood Estimation of Sparse Covariance Matrices With Applications to Graphical Modeling. IEEE Trans. Signal Process. 72: 958-971 (2024) - [c26]Mohammadreza Bagheri Jazi
Three-Dimensional Decoupled Atomic Norm Minimization. ICASSP 2024: 8716-8720 - 2023
- [j66]Ehsan Raei
Generalized waveform design for sidelobe reduction in MIMO radar systems. Signal Process. 206: 108914 (2023) - [j65]Prabhu Babu, Petre Stoica
Multiple-hypothesis testing rules for high-dimensional model selection and sparse-parameter estimation. Signal Process. 213: 109189 (2023) - [j64]Kuntal Panwar
Optimal Sensor Placement for Hybrid Source Localization Using Fused TOA-RSS-AOA Measurements. IEEE Trans. Aerosp. Electron. Syst. 59(2): 1643-1657 (2023) - [j63]Robin Amar
Designing Interference-Immune Doppler-Tolerant Waveforms for Radar Systems. IEEE Trans. Aerosp. Electron. Syst. 59(3): 2402-2421 (2023) - [j62]Astha Saini
A Novel Iterative Algorithm for Outlier Robust Phase Retrieval via Majorization Minimization Technique. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j61]Zengkun Wang
Min-Max Probe Placement and Extended Relaxation Estimation Method for Processing Blade Tip Timing Signals. IEEE Trans. Instrum. Meas. 72: 1-9 (2023) - [j60]Linlong Wu
Optimization Based Sensor Placement for Multi-Target Localization With Coupling Sensor Clusters. IEEE Trans. Signal Inf. Process. over Networks 9: 596-611 (2023) - [j59]Augusto Aubry
A Robust Framework to Design Optimal Sensor Locations for TOA or RSS Source Localization Techniques. IEEE Trans. Signal Process. 71: 1293-1306 (2023) - [j58]Petre Stoica
Low-Rank Covariance Matrix Estimation for Factor Analysis in Anisotropic Noise: Application to Array Processing and Portfolio Selection. IEEE Trans. Signal Process. 71: 1699-1711 (2023) - 2022
- [j57]Kuntal Panwar
A Majorization-Minimization Algorithm for Hybrid TOA-RSS Based Localization in NLOS Environment. IEEE Commun. Lett. 26(5): 1017-1021 (2022) - [j56]Surya Prakash Sankuru, Prabhu Babu, Mohammad Alaee-Kerahroodi:
UNIPOL: Unimodular sequence design via a separable iterative quartic polynomial optimization for active sensing systems. Signal Process. 190: 108348 (2022) - [j55]R. Jyothi, Prabhu Babu:
PIANO: A fast parallel iterative algorithm for multinomial and sparse multinomial logistic regression. Signal Process. 194: 108459 (2022) - [j54]R. Jyothi
TELET: A monotonic algorithm to design large dimensional equiangular tight frames for applications in compressed sensing. Signal Process. 195: 108503 (2022) - [j53]Ghania Fatima
PGPAL: A Monotonic Iterative Algorithm for Phase-Retrieval Under the Presence of Poisson-Gaussian Noise. IEEE Signal Process. Lett. 29: 533-537 (2022) - [j52]Kuntal Panwar
Maximum Likelihood Algorithm for Time-Delay Based Multistatic Target Localization. IEEE Signal Process. Lett. 29: 847-851 (2022) - [j51]Ghania Fatima
Learning Sparse Graphs via Majorization-Minimization for Smooth Node Signals. IEEE Signal Process. Lett. 29: 1022-1026 (2022) - [j50]Prabhu Babu
Multiple Hypothesis Testing-Based Cepstrum Thresholding for Nonparametric Spectral Estimation. IEEE Signal Process. Lett. 29: 2367-2371 (2022) - [j49]Ghania Fatima
Covariance Matrix Estimation Under Positivity Constraints With Application to Portfolio Selection. IEEE Signal Process. Lett. 29: 2487-2491 (2022) - [j48]Kuntal Panwar
Robust Multistatic Target Localization in the Presence of NLOS Errors and Outliers. IEEE Signal Process. Lett. 29: 2632-2636 (2022) - [j47]Ghania Fatima
PDMM: A Novel Primal-Dual Majorization-Minimization Algorithm for Poisson Phase-Retrieval Problem. IEEE Trans. Signal Process. 70: 1241-1255 (2022) - [j46]Nitesh Sahu
Optimal Sensor Placement for Source Localization: A Unified ADMM Approach. IEEE Trans. Veh. Technol. 71(4): 4359-4372 (2022) - [c25]Sheng Xu, Linlong Wu
Integrated Trajectory Optimization and Cubature Kalman Filter for UAV-Based Target Tracking with Unknown Initial Position. SAM 2022: 331-335 - [i11]Ghania Fatima, Aakash Arora, Prabhu Babu, Petre Stoica:
Learning Sparse Graphs via Majorization-Minimization for Smooth Node Signals. CoRR abs/2202.02815 (2022) - [i10]Robin Amar, Mohammad Alaee-Kerahroodi, Prabhu Babu, M. R. Bhavani Shankar:
Designing Interference-Immune Doppler-TolerantWaveforms for Automotive Radar Applications. CoRR abs/2204.02236 (2022) - [i9]Astha Saini, Prabhu Babu:
Comments on "Iteratively Re-weighted Algorithm for Fuzzy c-Means". CoRR abs/2209.07715 (2022) - 2021
- [j45]Surya Prakash Sankuru, Prabhu Babu:
A fast iterative algorithm to design phase-only sequences by minimizing the ISL metric. Digit. Signal Process. 111: 102991 (2021) - [j44]R. Jyothi
SLOPE: A monotonic algorithm to design sequences with good autocorrelation properties by minimizing the peak sidelobe level. Digit. Signal Process. 116: 103142 (2021) - [j43]Surya Prakash Sankuru
Designing Complementary Sequence Sets With Impulse Like Complementary Auto-Correlation Function. IEEE Commun. Lett. 25(5): 1417-1421 (2021) - [j42]R. Jyothi
Design of High-Dimensional Grassmannian Frames via Block Minorization Maximization. IEEE Commun. Lett. 25(11): 3624-3628 (2021) - [j41]R. Jyothi
DYANOM - Dykstra's projection based atomic norm solver. Signal Process. 182: 107958 (2021) - [i8]R. Jyothi, Prabhu Babu:
PROMPT: Parallel Iterative Algorithm for 𝓁p norm linear regression via Majorization Minimization with an application to semi-supervised graph learning. CoRR abs/2110.12190 (2021) - 2020
- [j40]Surya Prakash Sankuru, Prabhu Babu:
Designing unimodular sequence with good auto-correlation properties via Block Majorization-Minimization method. Signal Process. 176: 107707 (2020) - [j39]R. Jyothi
SOLVIT: A Reference-Free Source Localization Technique Using Majorization Minimization. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2661-2673 (2020) - [j38]Nitesh Sahu
A Novel Algorithm for Optimal Placement of Multiple Inertial Sensors to Improve the Sensing Accuracy. IEEE Trans. Signal Process. 68: 142-154 (2020) - [i7]R. Jyothi, Prabhu Babu:
PIANO: A Fast Parallel Iterative Algorithm for Multinomial and Sparse Multinomial Logistic Regression. CoRR abs/2002.09133 (2020)
2010 – 2019
- 2019
- [j37]R. Jyothi
Novel Algorithms Based on Majorization Minimization for Nonnegative Matrix Factorization. IEEE Access 7: 115682-115695 (2019) - [j36]Sai Subramanyam Thoota
Codebook-Based Precoding and Power Allocation for MU-MIMO Systems for Sum Rate Maximization. IEEE Trans. Commun. 67(12): 8290-8302 (2019) - [j35]Deboshree Roy
Sparse Reconstruction-Based Thermal Imaging for Defect Detection. IEEE Trans. Instrum. Meas. 68(11): 4550-4558 (2019) - [c24]Sai Subramanyam Thoota
Codebook based Precoding for Multiuser MIMO Broadcast Systems: An MM Approach. NCC 2019: 1-6 - 2018
- [j34]Linlong Wu
Transmit Waveform/Receive Filter Design for MIMO Radar With Multiple Waveform Constraints. IEEE Trans. Signal Process. 66(6): 1526-1540 (2018) - 2017
- [j33]Mudassir Masood
A Minorization-Maximization Algorithm for Maximizing the Secrecy Rate of the MIMOME Wiretap Channel. IEEE Commun. Lett. 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 Process. 65(2): 438-453 (2017) - [j31]Linlong Wu
Cognitive Radar-Based Sequence Design via SINR Maximization. IEEE Trans. Signal Process. 65(3): 779-793 (2017) - [j30]Ying Sun
Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning. IEEE Trans. Signal Process. 65(3): 794-816 (2017) - [j29]Zhongju Wang
Effective Low-Complexity Optimization Methods for Joint Phase Noise and Channel Estimation in OFDM. IEEE Trans. Signal Process. 65(12): 3247-3260 (2017) - [c23]Zhongju Wang
A low-complexity algorithm for OFDM phase noise estimation. SPAWC 2017: 1-5 - [c22]Linlong Wu
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
Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems. IEEE Trans. Signal Process. 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 Process. 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 Process. 64(11): 2866-2879 (2016) - [j24]Ying Sun
Robust Estimation of Structured Covariance Matrix for Heavy-Tailed Elliptical Distributions. IEEE Trans. Signal Process. 64(14): 3576-3590 (2016) - [j23]Licheng Zhao
Efficient Algorithms on Robust Low-Rank Matrix Completion Against Outliers. IEEE Trans. Signal Process. 64(18): 4767-4780 (2016) - [j22]Tianyu Qiu
PRIME: Phase Retrieval via Majorization-Minimization. IEEE Trans. Signal Process. 64(19): 5174-5186 (2016) - [j21]Zhongju Wang
Design of PAR-Constrained Sequences for MIMO Channel Estimation via Majorization-Minimization. IEEE Trans. Signal Process. 64(23): 6132-6144 (2016) - [j20]Konstantinos Benidis, Ying Sun
Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation. IEEE Trans. Signal Process. 64(23): 6211-6226 (2016) - [c21]Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar
Robust rank constrained kronecker covariance matrix estimation. ACSSC 2016: 810-814 - [c20]Arnaud Breloy, Ying Sun, Prabhu Babu, Daniel Pérez Palomar
Block majorization-minimization algorithms for low-rank clutter subspace estimation. EUSIPCO 2016: 2186-2190 - [c19]Mudassir Masood
A minorization-maximization algorithm for an-based mimome secrecy rate maximization. GlobalSIP 2016: 975-980 - [c18]Junxiao Song, Prabhu Babu, Daniel Pérez Palomar
Sequence design to minimize the peak sidelobe level. ICASSP 2016: 3896-3900 - [c17]Zhongju Wang
Optimal design of constant-modulus channel training sequences. ICASSP 2016: 3901-3905 - [c16]Konstantinos Benidis, Ying Sun, Prabhu Babu, Daniel Pérez Palomar
Orthogonal sparse eigenvectors: A procrustes problem. ICASSP 2016: 4683-4686 - [c15]Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar
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
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 Process. 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 Process. 63(12): 3096-3109 (2015) - [j17]Junxiao Song
Optimization Methods for Designing Sequences With Low Autocorrelation Sidelobes. IEEE Trans. Signal Process. 63(15): 3998-4009 (2015) - [c14]Licheng Zhao, Prabhu Babu, Daniel Pérez Palomar
Robust low-rank optimization for large scale problems. ACSSC 2015: 391-395 - [c13]Tianyu Qiu, Prabhu Babu, Daniel Pérez Palomar
PRIME: Phase retrieval via majorization-minimization technique. ACSSC 2015: 1681-1685 - [c12]Junxiao Song, Prabhu Babu, Daniel P. Palomar
Optimization methods for sequence design with low autocorrelation sidelobes. ICASSP 2015: 3033-3037 - [c11]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 Process. 95: 10-14 (2014) - [j15]Ying Sun
Regularized Tyler's Scatter Estimator: Existence, Uniqueness, and Algorithms. IEEE Trans. Signal Process. 62(19): 5143-5156 (2014) - [c10]Junxiao Song, Prabhu Babu, Daniel P. Palomar
A fast algorithm for sparse generalized eigenvalue problem. ACSSC 2014: 1652-1656 - [c9]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. Digit. Signal Process. 23(5): 1565-1577 (2013) - [j13]Petre Stoica, Prabhu Babu:
Model order estimation via penalizing adaptively the likelihood (PAL). Signal Process. 93(11): 2865-2871 (2013) - 2012
- [j12]Petre Stoica, Prabhu Babu:
SPICE and LIKES: Two hyperparameter-free methods for sparse-parameter estimation. Signal Process. 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 Process. 60(2): 962-967 (2012) - [j9]Petre Stoica, Prabhu Babu:
On the Proper Forms of BIC for Model Order Selection. IEEE Trans. Signal Process. 60(9): 4956-4961 (2012) - [c8]Prabhu Babu, Petre Stoica:
Sparse spectral-line estimation for nonuniformly sampled multivariate time series: SPICE, LIKES and MSBL. EUSIPCO 2012: 445-449 - [c7]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 Process. 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 Process. 59(2): 629-638 (2011) - [j5]Petre Stoica, Prabhu Babu:
Maximum-Likelihood Nonparametric Estimation of Smooth Spectra From Irregularly Sampled Data. IEEE Trans. Signal Process. 59(12): 5746-5758 (2011) - [c6]Petre Stoica, Prabhu Babu, Jian Li:
A sparse covariance-based method for direction of arrival estimation. ICASSP 2011: 2844-2847 - [c5]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. Digit. Signal Process. 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) - [c4]Prabhu Babu, Petre Stoica, Jian Li:
Modeling Radial Velocity Signals for Exoplanet Search Applications. ICINCO (3) 2010: 155-159
2000 – 2009
- 2009
- [c3]Prabhu Babu, Petre Stoica, Thomas L. Marzetta:
An IQML type algorithm for AR parameter estimation from noisy covariance sequences. EUSIPCO 2009: 1022-1026 - 2008
- [c2]Prabhu Babu, Erik Gudmundson, Petre Stoica:
Optimal preconditioning for interpolation of missing data in a band-limited sequence. ACSCC 2008: 561-565 - [c1]Prabhu Babu, Erik Gudmundson, Petre Stoica:
Automatic cepstrum-based smoothing of the periodogram via cross-validation. EUSIPCO 2008: 1-5
Coauthor Index
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