DocumentCode
1854168
Title
AdOpt: analog VLSI stochastic optimization for adaptive optics
Author
Cohen, Marc ; Edwards, R. Timothy ; Cauwenberghs, Gert ; Vorontsov, Mikhail ; Carhart, Gary
Author_Institution
Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Volume
4
fYear
1999
fDate
1999
Firstpage
2343
Abstract
Phase distortion in wavefront propagation is one of the key problems in optical imaging and laser optics applications. We present a hybrid VLSI and optical system for real-time adaptive phase distortion compensation. The system operates “model-free”, independent of the specifics of the distorting optical medium and the compensation control elements. Our VLSI system implements stochastic parallel perturbative gradient descent/ascent so that we achieve fast optimization of the chosen performance metric to achieve real-time compensation. We include experimental results of the hybrid VLSI-optical system demonstrating successful operation for a laser-beam focusing/defocusing task
Keywords
CMOS image sensors; VLSI; adaptive signal processing; analogue integrated circuits; compensation; gradient methods; perturbation techniques; real-time systems; stochastic programming; AdOpt; adaptive optics; analog VLSI stochastic optimization; hybrid VLSI-optical system; laser optics applications; laser-beam focusing/defocusing task; model-free system; optical imaging; performance metric; real-time adaptive phase distortion compensation; real-time compensation; stochastic parallel perturbative gradient ascent; stochastic parallel perturbative gradient descent; wavefront propagation; Adaptive optics; Laser applications; Laser noise; Optical distortion; Optical imaging; Optical propagation; Phase distortion; Real time systems; Stochastic processes; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.833431
Filename
833431
Link To Document