Efficient Recovery of Block Sparse Signals via Zero-point Attracting Projection

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

4 pages, 2 figures

Scientific paper

In this paper, we consider compressed sensing (CS) of block-sparse signals, i.e., sparse signals that have nonzero coefficients occurring in clusters. An efficient algorithm, called zero-point attracting projection (ZAP) algorithm, is extended to the scenario of block CS. The block version of ZAP algorithm employs an approximate $l_{2,0}$ norm as the cost function, and finds its minimum in the solution space via iterations. For block sparse signals, an analysis of the stability of the local minimums of this cost function under the perturbation of noise reveals an advantage of the proposed algorithm over its original non-block version in terms of reconstruction error. Finally, numerical experiments show that the proposed algorithm outperforms other state of the art methods for the block sparse problem in various respects, especially the stability under noise.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Efficient Recovery of Block Sparse Signals via Zero-point Attracting Projection does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Efficient Recovery of Block Sparse Signals via Zero-point Attracting Projection, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Efficient Recovery of Block Sparse Signals via Zero-point Attracting Projection will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-16936

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.