Time-frequency energy distributions meet compressed sensing
IEEE Transactions on Signal Processing
Robust L-estimation based forms of signal transforms and time-frequency representations
IEEE Transactions on Signal Processing
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
IEEE Transactions on Information Theory
Sparse Recovery With Orthogonal Matching Pursuit Under RIP
IEEE Transactions on Information Theory
Compressive Sensing Signal Reconstruction by Weighted Median Regression Estimates
IEEE Transactions on Signal Processing
Multimedia Signals and Systems
Multimedia Signals and Systems
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A modification of standard compressive sensing algorithms for sparse signal reconstruction in the presence of impulse noise is proposed. The robust solution is based on the L-estimate statistics which is used to provide appropriate initial conditions that lead to improved performance and efficient convergence of the reconstruction algorithms.