2025
Efficient Algorithms for Designing Sparse Linear Arrays With Desired Beampattern for Dual-Function Radar and Communication Systems.
IEEE Trans. Aerosp. Electron. Syst., April, 2025
Sensor Placement Strategies for Target Localization via 3-D AOA Measurements.
IEEE Trans. Aerosp. Electron. Syst., April, 2025
Dual-Function Beamforming Design for Multi-Target Localization and Reliable Communications.
IEEE Trans. Signal Process., 2025
Penalized Likelihood Approach for Graph Learning in the Presence of Outliers.
IEEE Trans. Signal Inf. Process. over Networks, 2025
Fair principal component analysis (PCA): minorization-maximization algorithms for Fair PCA, Fair Robust PCA and Fair Sparse PCA.
Trans. Mach. Learn. Res., 2025
Outlier-Robust Multistatic Target Localization.
IEEE Signal Process. Lett., 2025
$\ell_{0}$ Penalized Maximum Likelihood Estimation of Sparse Covariance Matrices.
IEEE Signal Process. Lett., 2025
2024
Advanced Methods for MLE of Toeplitz Structured Covariance Matrices With Applications to Radar Problems.
IEEE Trans. Inf. Theory, December, 2024
Quantum State Discrimination: A Tutorial on Basic Properties of the Optimal Measurement Matrices [Lecture Notes].
IEEE Signal Process. Mag., September, 2024
Penalized Likelihood Approach to Covariance Matrix Estimation From Data With Cell Outliers.
IEEE Trans. Signal Process., 2024
Two New Algorithms for Maximum Likelihood Estimation of Sparse Covariance Matrices With Applications to Graphical Modeling.
IEEE Trans. Signal Process., 2024
A Block Minorization-Maximization Algorithm for Row-Sparse Principal Component Analysis.
IEEE Signal Process. Lett., 2024
Pearson-Matthews correlation coefficients for binary and multinary classification.
Signal Process., 2024
Majorisation-minimisation algorithm for optimal state discrimination in quantum communications.
IET Quantum Commun., 2024
Min-Max Framework for Majorization-Minimization Algorithms in Signal Processing Applications: An Overview.
Found. Trends Signal Process., 2024
Three-Dimensional Decoupled Atomic Norm Minimization.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Multiple-hypothesis testing rules for high-dimensional model selection and sparse-parameter estimation.
Signal Process., December, 2023
Designing Interference-Immune Doppler-Tolerant Waveforms for Radar Systems.
IEEE Trans. Aerosp. Electron. Syst., June, 2023
Generalized waveform design for sidelobe reduction in MIMO radar systems.
Signal Process., May, 2023
Optimal Sensor Placement for Hybrid Source Localization Using Fused TOA-RSS-AOA Measurements.
IEEE Trans. Aerosp. Electron. Syst., April, 2023
Low-Rank Covariance Matrix Estimation for Factor Analysis in Anisotropic Noise: Application to Array Processing and Portfolio Selection.
IEEE Trans. Signal Process., 2023
A Robust Framework to Design Optimal Sensor Locations for TOA or RSS Source Localization Techniques.
IEEE Trans. Signal Process., 2023
Optimization Based Sensor Placement for Multi-Target Localization With Coupling Sensor Clusters.
IEEE Trans. Signal Inf. Process. over Networks, 2023
Min-Max Probe Placement and Extended Relaxation Estimation Method for Processing Blade Tip Timing Signals.
IEEE Trans. Instrum. Meas., 2023
A Novel Iterative Algorithm for Outlier Robust Phase Retrieval via Majorization Minimization Technique.
IEEE Trans. Instrum. Meas., 2023
2022
Optimal Sensor Placement for Source Localization: A Unified ADMM Approach.
IEEE Trans. Veh. Technol., 2022
PDMM: A Novel Primal-Dual Majorization-Minimization Algorithm for Poisson Phase-Retrieval Problem.
IEEE Trans. Signal Process., 2022
Maximum Likelihood Algorithm for Time-Delay Based Multistatic Target Localization.
IEEE Signal Process. Lett., 2022
Robust Multistatic Target Localization in the Presence of NLOS Errors and Outliers.
IEEE Signal Process. Lett., 2022
Covariance Matrix Estimation Under Positivity Constraints With Application to Portfolio Selection.
IEEE Signal Process. Lett., 2022
PGPAL: A Monotonic Iterative Algorithm for Phase-Retrieval Under the Presence of Poisson-Gaussian Noise.
IEEE Signal Process. Lett., 2022
Learning Sparse Graphs via Majorization-Minimization for Smooth Node Signals.
IEEE Signal Process. Lett., 2022
Multiple Hypothesis Testing-Based Cepstrum Thresholding for Nonparametric Spectral Estimation.
IEEE Signal Process. Lett., 2022
UNIPOL: Unimodular sequence design via a separable iterative quartic polynomial optimization for active sensing systems.
Signal Process., 2022
TELET: A monotonic algorithm to design large dimensional equiangular tight frames for applications in compressed sensing.
Signal Process., 2022
PIANO: A fast parallel iterative algorithm for multinomial and sparse multinomial logistic regression.
Signal Process., 2022
A Majorization-Minimization Algorithm for Hybrid TOA-RSS Based Localization in NLOS Environment.
IEEE Commun. Lett., 2022
Comments on "Iteratively Re-weighted Algorithm for Fuzzy c-Means".
CoRR, 2022
Designing Interference-Immune Doppler-TolerantWaveforms for Automotive Radar Applications.
CoRR, 2022
Integrated Trajectory Optimization and Cubature Kalman Filter for UAV-Based Target Tracking with Unknown Initial Position.
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022
2021
DYANOM - Dykstra's projection based atomic norm solver.
Signal Process., 2021
Designing Complementary Sequence Sets With Impulse Like Complementary Auto-Correlation Function.
IEEE Commun. Lett., 2021
Design of High-Dimensional Grassmannian Frames via Block Minorization Maximization.
IEEE Commun. Lett., 2021
A fast iterative algorithm to design phase-only sequences by minimizing the ISL metric.
Digit. Signal Process., 2021
SLOPE: A monotonic algorithm to design sequences with good autocorrelation properties by minimizing the peak sidelobe level.
Digit. Signal Process., 2021
PROMPT: Parallel Iterative Algorithm for 𝓁<sub>p</sub> norm linear regression via Majorization Minimization with an application to semi-supervised graph learning.
CoRR, 2021
2020
A Novel Algorithm for Optimal Placement of Multiple Inertial Sensors to Improve the Sensing Accuracy.
IEEE Trans. Signal Process., 2020
SOLVIT: A Reference-Free Source Localization Technique Using Majorization Minimization.
IEEE ACM Trans. Audio Speech Lang. Process., 2020
Designing unimodular sequence with good auto-correlation properties via Block Majorization-Minimization method.
Signal Process., 2020
2019
Sparse Reconstruction-Based Thermal Imaging for Defect Detection.
IEEE Trans. Instrum. Meas., 2019
Codebook-Based Precoding and Power Allocation for MU-MIMO Systems for Sum Rate Maximization.
IEEE Trans. Commun., 2019
Novel Algorithms Based on Majorization Minimization for Nonnegative Matrix Factorization.
IEEE Access, 2019
Codebook based Precoding for Multiuser MIMO Broadcast Systems: An MM Approach.
Proceedings of the National Conference on Communications, 2019
2018
Transmit Waveform/Receive Filter Design for MIMO Radar With Multiple Waveform Constraints.
IEEE Trans. Signal Process., 2018
2017
A Unified Framework for Low Autocorrelation Sequence Design via Majorization-Minimization.
IEEE Trans. Signal Process., 2017
Cognitive Radar-Based Sequence Design via SINR Maximization.
IEEE Trans. Signal Process., 2017
Effective Low-Complexity Optimization Methods for Joint Phase Noise and Channel Estimation in OFDM.
IEEE Trans. Signal Process., 2017
Majorization-Minimization Algorithms in Signal Processing, Communications, and Machine Learning.
IEEE Trans. Signal Process., 2017
A Minorization-Maximization Algorithm for Maximizing the Secrecy Rate of the MIMOME Wiretap Channel.
IEEE Commun. Lett., 2017
A fast algorithm for joint design of transmit waveforms and receive filters.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017
A low-complexity algorithm for OFDM phase noise estimation.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017
2016
Efficient Algorithms on Robust Low-Rank Matrix Completion Against Outliers.
IEEE Trans. Signal Process., 2016
Design of PAR-Constrained Sequences for MIMO Channel Estimation via Majorization-Minimization.
IEEE Trans. Signal Process., 2016
Robust Estimation of Structured Covariance Matrix for Heavy-Tailed Elliptical Distributions.
IEEE Trans. Signal Process., 2016
Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems.
IEEE Trans. Signal Process., 2016
Sequence Set Design With Good Correlation Properties Via Majorization-Minimization.
IEEE Trans. Signal Process., 2016
Sequence Design to Minimize the Weighted Integrated and Peak Sidelobe Levels.
IEEE Trans. Signal Process., 2016
PRIME: Phase Retrieval via Majorization-Minimization.
IEEE Trans. Signal Process., 2016
Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation.
IEEE Trans. Signal Process., 2016
MELT - Maximum-Likelihood Estimation of Low-Rank Toeplitz Covariance Matrix.
IEEE Signal Process. Lett., 2016
A robust signal subspace estimator.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016
Optimal design of constant-modulus channel training sequences.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Sequence design to minimize the peak sidelobe level.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Orthogonal sparse eigenvectors: A procrustes problem.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
A minorization-maximization algorithm for an-based mimome secrecy rate maximization.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Block majorization-minimization algorithms for low-rank clutter subspace estimation.
Proceedings of the 24th European Signal Processing Conference, 2016
Robust rank constrained kronecker covariance matrix estimation.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
Regularized Robust Estimation of Mean and Covariance Matrix Under Heavy-Tailed Distributions.
IEEE Trans. Signal Process., 2015
Optimization Methods for Designing Sequences With Low Autocorrelation Sidelobes.
IEEE Trans. Signal Process., 2015
Sparse Generalized Eigenvalue Problem Via Smooth Optimization.
IEEE Trans. Signal Process., 2015
Robust estimation of structured covariance matrix for heavy-tailed distributions.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Optimization methods for sequence design with low autocorrelation sidelobes.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Robust low-rank optimization for large scale problems.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015
PRIME: Phase retrieval via majorization-minimization technique.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015
2014
Regularized Tyler's Scatter Estimator: Existence, Uniqueness, and Algorithms.
IEEE Trans. Signal Process., 2014
Connection between SPICE and Square-Root LASSO for sparse parameter estimation.
Signal Process., 2014
Regularized robust estimation of mean and covariance matrix under heavy tails and outliers.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014
A fast algorithm for sparse generalized eigenvalue problem.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
2013
Model order estimation via penalizing adaptively the likelihood (PAL).
Signal Process., 2013
Parameter estimation of exponential signals: A system identification approach.
Digit. Signal Process., 2013
2012
On the Proper Forms of BIC for Model Order Selection.
IEEE Trans. Signal Process., 2012
Sparse Estimation of Spectral Lines: Grid Selection Problems and Their Solutions.
IEEE Trans. Signal Process., 2012
On the Exponentially Embedded Family (EEF) Rule for Model Order Selection.
IEEE Signal Process. Lett., 2012
SPICE and LIKES: Two hyperparameter-free methods for sparse-parameter estimation.
Signal Process., 2012
On moving average parameter estimation.
Proceedings of the 20th European Signal Processing Conference, 2012
Sparse spectral-line estimation for nonuniformly sampled multivariate time series: SPICE, LIKES and MSBL.
Proceedings of the 20th European Signal Processing Conference, 2012
2011
SPICE: A Sparse Covariance-Based Estimation Method for Array Processing.
IEEE Trans. Signal Process., 2011
New Method of Sparse Parameter Estimation in Separable Models and Its Use for Spectral Analysis of Irregularly Sampled Data.
IEEE Trans. Signal Process., 2011
Maximum-Likelihood Nonparametric Estimation of Smooth Spectra From Irregularly Sampled Data.
IEEE Trans. Signal Process., 2011
The Gaussian Data Assumption Leads to the Largest Cramér-Rao Bound [Lecture Notes].
IEEE Signal Process. Mag., 2011
A sparse covariance-based method for direction of arrival estimation.
Proceedings of the IEEE International Conference on Acoustics, 2011
A combined linear programming-maximum likelihood approach to radial velocity data analysis for extrasolar planet detection.
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
Algebraic Derivation of Elfving Theorem on Optimal Experiment Design and Some Connections With Sparse Estimation.
IEEE Signal Process. Lett., 2010
Comments on "Iterative Estimation of Sinusoidal Signal Parameters".
IEEE Signal Process. Lett., 2010
Linear Systems, Sparse Solutions, and Sudoku.
IEEE Signal Process. Lett., 2010
Spectral analysis of nonuniformly sampled data - a review.
Digit. Signal Process., 2010
Modeling Radial Velocity Signals for Exoplanet Search Applications.
Proceedings of the ICINCO 2010, 2010
2009
An IQML type algorithm for AR parameter estimation from noisy covariance sequences.
Proceedings of the 17th European Signal Processing Conference, 2009
2008
Automatic cepstrum-based smoothing of the periodogram via cross-validation.
Proceedings of the 2008 16th European Signal Processing Conference, 2008
Optimal preconditioning for interpolation of missing data in a band-limited sequence.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008