摘要
The SL0 algorithm for compressed sensing (CS) is an 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.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Ninth Symposium on Novel Photoelectronic Detection Technology and Applications |
| 编辑 | Junhao Chu, Wenqing Liu, Hongxing Xu |
| 出版商 | SPIE |
| ISBN（电子版） | 9781510664432 |
| DOI | |
| 出版状态 | 已出版 - 2023 |
| 活动 | 9th Symposium on Novel Photoelectronic Detection Technology and Applications - Hefei, 中国 期限: 21 4月 2023 → 23 4月 2023 |
出版系列
| 姓名 | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| 卷 | 12617 |
| ISSN（印刷版） | 0277-786X |
| ISSN（电子版） | 1996-756X |
会议
| 会议 | 9th Symposium on Novel Photoelectronic Detection Technology and Applications |
|---|---|
| 国家/地区 | 中国 |
| 市 | Hefei |
| 时期 | 21/04/23 → 23/04/23 |
指纹
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Zhang, Y., Chen, X., Zeng, C., Gao, K., & Li, H. (2023). A reformative algorithm for compressed sensing sparse signal recovery based on smoothed L0 norm. 在 J. Chu, W. Liu, & H. Xu (编辑), Ninth Symposium on Novel Photoelectronic Detection Technology and Applications 文章 126171I (Proceedings of SPIE - The International Society for Optical Engineering; 卷 12617). SPIE. https://doi.org/10.1117/12.2664402