Paper
16 June 1986 An optical inner-product array processor for associative retrieval
S . Y. Kung, H. K. Liu
Author Affiliations +
Proceedings Volume 0613, Nonlinear Optics and Applications; (1986) https://doi.org/10.1117/12.960412
Event: O-E/LASE'86 Symposium, 1986, Los Angeles, CA, United States
Abstract
In this paper, an inner-product array processor for the associative retrieval problem is presented. First, the algorithm and architecture of the array processor design are discussed. Then an optical implementation scheme is proposed. The matrix model of the associative memory is adopted. In this model, if one of the M vectors is to be reliably recalled, the dimension of the vectors, N, must be much larger than M. By taking advantage of this fact, our result offers a factor of 1/1â- 17â€"M- saving on the matrix elements. More significantly, real-time inputting and updating of the matrix elements can be potentially implemented with existing space-variant holographic elements and recently discovered liquid crystal television spatial light modulators.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S . Y. Kung and H. K. Liu "An optical inner-product array processor for associative retrieval", Proc. SPIE 0613, Nonlinear Optics and Applications, (16 June 1986); https://doi.org/10.1117/12.960412
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CITATIONS
Cited by 8 scholarly publications and 2 patents.
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KEYWORDS
Array processing

Matrices

Content addressable memory

Computer simulations

Optical arrays

Holography

Nonlinear optics

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