Changchun Institute of Optics,Fine Mechanics and Physics,CAS
Adaptive variable selection for extended Nijboer-Zernike aberration retrieval via lasso | |
Wang, B.; H. A. Diao; J. H. Guo; X. Y. Liu and Y. H. Wu | |
2017 | |
发表期刊 | Optics Communications |
卷号 | 385 |
摘要 | In this paper, we propose extended Nijboer-Zernike (ENZ) method for aberration retrieval by incorporating lasso variable selection method which can improve the accuracy of aberration retrieval. The proposed model is computed by the state-of-art algorithm of the Bregman iterative algorithm (Bregman, 1967 [1]; Cai et al., 2008 [2]; Yin et al., 2008 [3]) for L-1 minimization problem with adaptive regularized parameter choice based on the strategy (Ito et al., 2011 [4]). Numerical simulations for real world and simulated phase data validate the effectiveness of the proposed ENZ AR via lasso. |
收录类别 | sci ; ei |
语种 | 英语 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ciomp.ac.cn/handle/181722/59237 |
专题 | 中科院长春光机所知识产出 |
推荐引用方式 GB/T 7714 | Wang, B.,H. A. Diao,J. H. Guo,et al. Adaptive variable selection for extended Nijboer-Zernike aberration retrieval via lasso[J]. Optics Communications,2017,385. |
APA | Wang, B.,H. A. Diao,J. H. Guo,&X. Y. Liu and Y. H. Wu.(2017).Adaptive variable selection for extended Nijboer-Zernike aberration retrieval via lasso.Optics Communications,385. |
MLA | Wang, B.,et al."Adaptive variable selection for extended Nijboer-Zernike aberration retrieval via lasso".Optics Communications 385(2017). |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Adaptive variable se(766KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论