A uni-complex and bi-complex representation for associative memory with superior retrieval

Abdul Ahad S. Awwal*, Haiying Tang, Karl S. Gudmundsson, J. Khan

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


A novel uni-complex valued trinary associative model, which is implementable in the optical domain, is proposed. Retrieval of the stored pattern is accomplished using an threshold formula in the inner product domain. An algorithm to determine adaptive threshold formula for this trinary associative memory model is presented. The optimal threshold is chosen to yield the best performance. Different threshold parameters have been investigated to obtain the range of optimal threshold parameters. In order to validate our performance model, character recognition problem with noisy and noise-free data are investigated. Moreover, a bi-complex representation model for associative memory retrieval is presented and compared to previous methods.

Original languageEnglish
Pages (from-to)159-170
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 2002
EventPhotonic Devices and Algorithms for Computing IV - Seattle, WA, United States
Duration: 8 Jul 20029 Jul 2002

Other keywords

  • Adaptive thresholding
  • Associative memory
  • Character recognition
  • Complex valued associative memory
  • Content-addressable memory
  • Hopfield memory
  • Inner product memory
  • Optical associative memory


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