相位恢复
算法
计算机科学
波前
相(物质)
计算
趋同(经济学)
公制(单位)
梯度下降
光学
傅里叶变换
数学
人工神经网络
人工智能
物理
数学分析
量子力学
经济
经济增长
运营管理
出处
期刊:Applied optics
[The Optical Society]
日期:1993-04-01
卷期号:32 (10): 1737-1737
被引量:276
摘要
Phase-retrieval algorithms have been developed that handle a complicated optical system that requires multiple Fresnellike transforms to propagate from one end of the system to the other including the absorption by apertures in more than one plane and allowance for bad detector pixels. Gradient-search algorithms and generalizations of the iterative-transform phase-retrieval algorithms are derived. Analytic expressions for the gradient of an error metric, with respect to polynomial coefficients and with respect to point-by-point phase descriptions, are given. The entire gradient can be computed with the number of transforms required to propagate a wave front from one end of the optical system to the other and back again, independent of the number of coefficients or phase points. This greatly speeds the computation. The reconstruction of pupil amplitude is also given. A convergence proof of the generalized iterative transform algorithm is given. These improved algorithms permit a more accurate characterization of complicated optical systems from their point spread functions.
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