6 December 1989 Pattern Recognition Using A Double Layer Associative Memory
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Proceedings Volume 1154, Real-Time Signal Processing XII; (1989); doi: 10.1117/12.962383
Event: 33rd Annual Technical Symposium, 1989, San Diego, United States
Abstract
We describe and present results of a high-order double layer associative memory (HODLAM). The memory can utilise up to neat-4, 100% of the network storage capacity, has high tolerance to patterns with high cross-correlations and has high potential for translation-invariant pattern recognition. We demonstrate the capability of the memory by using it to recognise a set of 64 characters, each being drawn on an 8X8 pirelated array. We also propose a possible optical implementation scheme for the memory and examine modifications that lead to translation invariance.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David T.Y. Lam, John E. Carroll, "Pattern Recognition Using A Double Layer Associative Memory", Proc. SPIE 1154, Real-Time Signal Processing XII, (6 December 1989); doi: 10.1117/12.962383; https://doi.org/10.1117/12.962383
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KEYWORDS
Computer simulations

Signal processing

Algorithms

Optically addressed spatial light modulators

Pattern recognition

Signal to noise ratio

Content addressable memory

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