主成分分析
计算机科学
数字全息显微术
光学
彗差(光学)
全息术
数字全息术
散光
相(物质)
人工智能
显微镜
补偿(心理学)
计算机视觉
模式识别(心理学)
算法
物理
量子力学
精神分析
心理学
作者
Xiaomin Lai,Sheng Xiao,Chen Xu,Shanhui Fan,Kaihua Wei
标识
DOI:10.1117/1.jbo.26.4.046501
摘要
It solves the problem that the conventional principal component analysis (PCA) algorithm cannot compensate the common but intricate higher order cross-term aberrations, such as astigmatism and coma. Moreover, the dPCA strategy proposed here is not only suitable for aberration compensation but also applicable for other cases where there exist cross-terms that cannot be analyzed with the PCA algorithm.
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