Correlated Sparse Bayesian Learning for Recovery of Block Sparse Signals with Unknown Borders

The future of cardiovascular magnetic resonance: All-in-one vs. real-time (Part 1)

Compressed Sensing in Low-Field MRI: Using Multiplicative Regularization

Sparse Millimeter Wave Channel Estimation From Partially Coherent Measurements

Coded Cover for Acoustic Vector Sensors

Optimally sparse and adaptive far-field sampling and pattern reconstruction: Approach for faster calibration of antenna system using compressed sensing

Elimination of traffic induced operational variability with Robust Principal Component Analysis (rPCA)

Ultrasound imaging through aberrating layers

MIMO OTFS With Arbitrary Time-Frequency Allocation for Joint Radar and Communications

Low Complexity Single-Snapshot DoA Estimation via Bayesian Compressive Sensing

Analysis of Orthogonal Matching Pursuit for Compressed Sensing in Practical Settings

A compressive sensing with photonic crystals enabled spectrometer for trace gas observation

Structure-Aware Sparse Bayesian Learning-Based Channel Estimation for Intelligent Reflecting Surface-Aided MIMO

Bayesian Compressive Sensing For Radar Based DoA Estimation Using Sparse Sensor Arrays

A Compressed Sensing Algorithm for Magnetic Dipole Localization

Assessment of data consistency through cascades of independently recurrent inference machines for fast and robust accelerated MRI reconstruction

Fusion of Data from Multiple Automotive Radars for High-Resolution DoA Estimation

Total Variation Compressive Sensing for Extended Targets in MIMO Radar

State Estimation of Linear Systems With Sparse Inputs and Markov-Modulated Missing Outputs

Fusion of radar data from multiple MIMO systems to achieve higher angular resolution