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Verification-Based Interval-Passing Algorithm for Compressed Sensing

delete2013-10-01
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Xiaofu Wu *
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Zhen Yang
DOI：10.1109/LSP.2013.2271533delete
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Abstract

Abstract

En 中文
We propose a verification-based Interval-Passing (IP) algorithm for iteratively reconstruction of nonnegative sparse signals using parity check matrices of low-density parity check (LDPC) codes as measurement matrices. The proposed algorithm can be considered as an improved IP algorithm by further incorporation of the mechanism of verification algorithm. It is proved that the proposed algorithm performs always better than either the IP algorithm or the verification algorithm. Simulation results are also given to demonstrate the superior performance of the proposed algorithm.
Keywords:
Compressed sensing
interval-passing algorithm
low-density parity-check (LDPC) codes
sparse measurements
verification algorithm
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

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