DFT-Based Modeling of Acousto-Optic Information Processors

Brian Sadler

doi:10.1117/12.976266

23 March 1986 DFT-Based Modeling of Acousto-Optic Information Processors

Brian Sadler

Proceedings Volume 0698, Real-Time Signal Processing IX; (1986) https://doi.org/10.1117/12.976266
Event: 30th Annual Technical Symposium, 1986, San Diego, United States

Abstract

Modeling (continuous and discrete) and numerical evaluation of the models (digital) have played an important role in the developement of optical processors and associated devices. Discrete Fourier transform based models are attractive for various acousto-optic information processor architectures. DFT-based models for incoherent and coherent AO spectrum analyzers are presented. These models are then extended to systolic AO linear algebra processors, especially the frequency-multiplexed modulator/deflector-type which is very similar to an AO spectrum analyzer. The models are general and allow for prediction of system response to arbitrary input and prediction of error effects. In addition, the models may be extended to include architectural modification, such as feedback paths or various forms of two dimensional processing. Algorithms for fast digital evaluation of the models are presented in the Appendix, so that accurate calculation is performed with minimal computer run times.

Citation Download Citation

Brian Sadler "DFT-Based Modeling of Acousto-Optic Information Processors", Proc. SPIE 0698, Real-Time Signal Processing IX, (23 March 1986); https://doi.org/10.1117/12.976266

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available