Block Sparse Signals Recovery via Block BacktrackingBased Matching Pursuit Method


Rui Qi, Yujie Zhang, Hongwei Li, Journal of Information Processing Systems Vol. 13, No. 2, pp. 360-369, Apr. 2017  

https://doi.org/10.3745/JIPS.04.0030
Keywords: Block Sparse Signal, Compressed Sensing, Sparse Signal Reconstruction
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Abstract

In this paper, a new iterative algorithm for reconstructing block sparse signals, called block backtrackingbased adaptive orthogonal matching pursuit (BBAOMP) method, is proposed. Compared with existing methods, the BBAOMP method can bring some flexibility between computational complexity and reconstruction property by using the backtracking step. Another outstanding advantage of BBAOMP algorithm is that it can be done without another information of signal sparsity. Several experiments illustrate that the BBAOMP algorithm occupies certain superiority in terms of probability of exact reconstruction and running time.


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Cite this article
[APA Style]
Qi, R., Zhang, Y., & Li, H. (2017). Block Sparse Signals Recovery via Block BacktrackingBased Matching Pursuit Method . Journal of Information Processing Systems, 13(2), 360-369. DOI: 10.3745/JIPS.04.0030.

[IEEE Style]
R. Qi, Y. Zhang, H. Li, "Block Sparse Signals Recovery via Block BacktrackingBased Matching Pursuit Method ," Journal of Information Processing Systems, vol. 13, no. 2, pp. 360-369, 2017. DOI: 10.3745/JIPS.04.0030.

[ACM Style]
Rui Qi, Yujie Zhang, and Hongwei Li. 2017. Block Sparse Signals Recovery via Block BacktrackingBased Matching Pursuit Method . Journal of Information Processing Systems, 13, 2, (2017), 360-369. DOI: 10.3745/JIPS.04.0030.