Mr. Chao Zeng Profile

Chao Zeng

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Proceedings Article | 4 April 2023 Paper

A reformative algorithm for compressed sensing sparse signal recovery based on smoothed L0 norm

Yongtian Zhang, Xiaomei Chen, Chao Zeng, Kun Gao, Haitong Li

Proceedings Volume 12617, 126171I (2023) https://doi.org/10.1117/12.2664402

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The SL0 algorithm for compressed sensing (CS) is a convex programming iterative reconstruction algorithm, which construct a smooth function to approximate the L0 norm and transform the NP-hard problem of minimization of the L0 norm into a convex optimization problem of the smooth function. Aiming at its shortcomings, this paper proposes a faster and more efficient reconstruction algorithm (CG-SL0), which uses the inverse trigonometric fraction function to approximate the L0 norm and uses the conjugate gradient method to achieve optimization. Experimental results show that, the CG-SL0 algorithm has significant advantages in reconstruction quality and performance under the same test conditions.

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