beathespread

The performance of sparse signal recovery from noise corrupted, underdetermined measurements can be improved if both sparsity and correlation structure of signals are exploited. One typical correlation structure is the intra-block correlation in block sparse signals. To exploit this structure, a framework, called block sparse Bayesian learning (BSBL), has been proposed recently.

http://arxiv.org/pdf/1211.4909v7.pdf

http://arxiv.org/abs/1211.4909

http://marchonscience.blogspot.com/search/label/BSBL

BSBL for Recovery of Block Sparse Signal with Known or Unknown Block Partition - src:

http://dsp.ucsd.edu/~zhilin/BSBL.html
https://sites.google.com/site/researchbyzhang/bsbl

Comparison of Sparse Signal Recovery Algorithms
with Highly Coherent Dictionary Matrices: The
Advantage of T-MSBL

http://dsp.ucsd.edu/~zhilin/papers/comparison.pdf