Test of the stochastic parallel gradient descent algorithm in laboratory experiments

被引：2
|
作者：
Banakh V.A. [1 ]
Larichev A.V. [2 ]
Razenkov I.A. [1 ]
Shesternin A.N. [1 ]
机构：
[1] V.E. Zuev Institute of Atmospheric Optics, Siberian Branch, Russian Academy of Sciences, pl. Akademika Zueva 1, Tomsk
[2] Laboratory of Adaptive Optics, Moscow State University, Vorobievy Gory, GSP-3, Moscow
来源：
Atmospheric and Oceanic Optics | 2013年 / 26卷 / 4期
基金：
俄罗斯基础研究基金会;
关键词：
Point Spread Function; Oceanic Optic; Plane Mirror; Noise Threshold; High Convergence Rate;
D O I：
10.1134/S1024856013040027
中图分类号：
学科分类号：
摘要：
Results of laboratory experiments on compensating distortions of the initial laser beam wavefront using the stochastic parallel gradient descent algorithm (SPGDA) are presented. It is shown that the optimum choice of the initial and iteration steps of the algorithm and of the noise threshold coefficient enables the compensation of main distortions of the wavefront for 150–200 SPGDA iterations. © 2013, Pleiades Publishing, Ltd.
引用
收藏
页码：337 / 344
页数：7
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