Design of a digital VLSI neuroprocessor for signal and image processing

Chia Fen Chang*, Bing J. Sheu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An efficient processing element for data/image processing has been designed. Detailed communication networks, instruction sets and circuit blocks are created for ring-connected and mesh-connected systolic arrays for the retrieving and learning phases of the neural network operations. 800 processing elements can be implemented in 3.75 cm × 3.75 cm chip by using the 0.5 μm CMOS technology from TRW, Inc. This digital neuroprocessor can also be extended to support fuzzy logic inference.

Original languageEnglish
Title of host publicationNeural Networks for Signal Processing
PublisherPubl by IEEE
Pages606-615
Number of pages10
ISBN (Print)0780301188
StatePublished - 1991
Externally publishedYes
EventProceedings of the 1991 Workshop on Neural Networks for Signal Processing - NNSP-91 - Princeton, NJ, USA
Duration: 30 09 199102 10 1991

Publication series

NameNeural Networks for Signal Processing

Conference

ConferenceProceedings of the 1991 Workshop on Neural Networks for Signal Processing - NNSP-91
CityPrinceton, NJ, USA
Period30/09/9102/10/91

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