An optical inner-product array processor for associative retrieval

Sun-Yuan Kung, H. K. Liu

Research output: Contribution to journalArticle

7 Scopus citations

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 (formula omited) 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.

Original languageEnglish (US)
Pages (from-to)214-219
Number of pages6
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume613
DOIs
StatePublished - Jun 16 1986
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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