Proceedings of the International Conference on Computer Information Systems and Industrial Applications

An Adaptive Threshold Algorithm for Joint Sparse Recovery

Authors
N. F. Dong, J. X. Wang
Corresponding Author
N. F. Dong
Available Online June 2015.
DOI
https://doi.org/10.2991/cisia-15.2015.1How to use a DOI?
Keywords
compressed sensing; joint sparse recovery; adaptive threshold; simultaneous orthogonal matching pursuit
Abstract
This paper presents a new greedy algorithm for joint sparse recovery, called adaptive threshold simultaneous orthogonal matching pursuit (AT-SOMP). In this algorithm, an adaptive threshold is designed based on subspace decomposition to stop the iterative process, during which the support of target signal is identified iteratively just like the simultaneous orthogonal matching pursuit (S-OMP) algorithm. As the adaptive threshold can change with the noise power adaptively, the proposed algorithm is applied to the situation that both the sparsity and SNR of the target signal are unknown. Experiments validate that in this situation the proposed algorithm has a better recovery performance than those methods with a fixed threshold.
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Proceedings
International Conference on Computer Information Systems and Industrial Applications
Part of series
Advances in Computer Science Research
Publication Date
June 2015
ISBN
978-94-62520-72-1
DOI
https://doi.org/10.2991/cisia-15.2015.1How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - N. F. Dong
AU  - J. X. Wang
PY  - 2015/06
DA  - 2015/06
TI  - An Adaptive Threshold Algorithm for Joint Sparse Recovery
BT  - International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
UR  - https://doi.org/10.2991/cisia-15.2015.1
DO  - https://doi.org/10.2991/cisia-15.2015.1
ID  - Dong2015/06
ER  -