Comparative Study of Neural Network Frameworks for the Next Generation of Adaptive Optics Systems-Reference-Cited by-同舟云学术

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Comparative Study of Neural Network Frameworks for the Next Generation of Adaptive Optics Systems

Published:2017-06-02 Issue:6 Volume:17 Page:1263
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

González-Gutiérrez Carlos,Santos Jesús,Martínez-Zarzuela Mario,Basden Alistair,Osborn James,Díaz-Pernas Francisco,De Cos Juez Francisco

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

http://www.mdpi.com/1424-8220/17/6/1263/pdf

Reference48 articles.

1. Modeling a MEMS deformable mirror using non-parametric estimation techniques

2. Durham adaptive optics real-time controller

3. Deformable mirror model for open-loop adaptive optics using multivariate adaptive regression splines

4. First-order performance evaluation of adaptive-optics systems for atmospheric-turbulence compensation in extended-field-of-view astronomical telescopes

5. Optimal wave-front reconstruction strategies for multiconjugate adaptive optics

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2. Adaptive Optics Correction Using Recurrent Neural Networks for Wavefront Prediction;18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023);2023

3. A Method Used to Improve the Dynamic Range of Shack–Hartmann Wavefront Sensor in Presence of Large Aberration;Sensors;2022-09-20

4. Machine learning for wavefront sensing;Adaptive Optics Systems VIII;2022-08-30

5. Adaptive optics control using model-based reinforcement learning;Optics Express;2021-05-04

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