Shahzad Gishkori

1paper

1 Paper

MLSep 10, 2013
Compressed Sensing for Block-Sparse Smooth Signals

Shahzad Gishkori, Geert Leus

We present reconstruction algorithms for smooth signals with block sparsity from their compressed measurements. We tackle the issue of varying group size via group-sparse least absolute shrinkage selection operator (LASSO) as well as via latent group LASSO regularizations. We achieve smoothness in the signal via fusion. We develop low-complexity solvers for our proposed formulations through the alternating direction method of multipliers.