Fully-Parallel VLSI Implementation of Vector Quantization Processor Using Neuron-MOS Technology

Akira NAKADA  Masahiro KONDA  Tatsuo MORIMOTO  Takemi YONEZAWA  Tadashi SHIBATA  Tadahiro OHMI  

Publication
IEICE TRANSACTIONS on Electronics   Vol.E82-C   No.9   pp.1730-1738
Publication Date: 1999/09/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8516
Type of Manuscript: Special Section PAPER (Special Issue on Integrated Electronics and New System Paradigms)
Category: Processors
Keyword: 
vector quantization,  winner-take-all,  neuron MOS,  image compression,  analog LSI,  

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Summary: 
An analog vector quantization processor has been designed based on the neuron-MOS (νMOS) technology. In order to achieve a high integrating density, template information is merged into the matching cell (the absolute value circuitry) using the νMOS ROM technology. A new-architecture νMOS winner-take-all (WTA) circuit is employed for fully-parallel search for the minimum-distance vector. The WTA performs multi-resolution winner search with an automatic feedback gain control. A test chip having 256 16-element fixed template vectors has been built in a 1.5-µm double-polysilicon CMOS technology with the chip size of 7.2 mm 7.2 mm, and the basic operation of the circuits has been demonstrated.