Compressed Sensing for Block-Sparse Smooth Signals [article]

Shahzad Gishkori, Geert Leus
2013 arXiv   pre-print
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.
arXiv:1309.2505v1 fatcat:wxqq2lwxr5dnfnmerzwbvfc7bm