A sparse reconstruction algorithm based on constrained inhomogeneous grid optimization

Cites Work

A mathematical introduction to compressive sensing
The restricted isometry property and its implications for compressed sensing
On gridless sparse methods for multi-snapshot direction of arrival estimation
Greed is Good: Algorithmic Results for Sparse Approximation
The constrained total least squares technique and its applications to harmonic superresolution
Sparsity-Cognizant Total Least-Squares for Perturbed Compressive Sampling
Sensitivity to Basis Mismatch in Compressed Sensing
Compressed Sensing of Complex Sinusoids: An Approach Based on Dictionary Refinement
Robustly Stable Signal Recovery in Compressed Sensing With Structured Matrix Perturbation
A Discretization-Free Sparse and Parametric Approach for Linear Array Signal Processing
On Gridless Sparse Methods for Line Spectral Estimation From Complete and Incomplete Data
Enhancing Sparsity and Resolution via Reweighted Atomic Norm Minimization
Off-the-Grid Line Spectrum Denoising and Estimation With Multiple Measurement Vectors
Grid Evolution Method for DOA Estimation
Analysis of Frequency Agile Radar via Compressed Sensing
Quasi-Static and Time-Selective Channel Estimation for Block-Sparse Millimeter Wave Hybrid MIMO Systems: Sparse Bayesian Learning (SBL) Based Approaches
Multi-Carrier Agile Phased Array Radar
Compressed Sensing Off the Grid
Sparse solutions to linear inverse problems with multiple measurement vectors
Directions-of-Arrival Estimation Through Bayesian Compressive Sensing Strategies
Phase Transitions in Frequency Agile Radar Using Compressed Sensing

This page was built for publication: A sparse reconstruction algorithm based on constrained inhomogeneous grid optimization