A combination approach for compressed sensing signal reconstruction
作者： Yujie Zhang , Rui Qi , Yanni Zeng
DOI: 10.1117/12.2242863
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摘要: This paper presents a combination approach which fusing the estimates of forward backward pursuit (FBP) and backtracking-based adaptive orthogonal matching (BAOMP) to approximate sparse solutions for compressed sensing without sparsity level as prior. algorithm referred (CACS). It can improve signal recovery performance in minimum number measurements. Numerical experiments both synthetic real signals are conducted demonstrate validity high proposed algorithm, compared individual algorithms.
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