Variable region vector quantization

Yasuo Matsuyama*

*この研究の対応する著者

研究成果: Article査読

抄録

In this research, the variable region vector quantization is presented as tools for data compression and pattern matching. Examples of optimized variable regions for super-vectors are given for speech and images. The varable region vector quantization involves the conventional vector quantization as a special case. Therefore, the presented method is a further generalization to the Lloyd's scalar quantizer design. Methods presented are applicable to various pattern handling including artificial neural nets.

本文言語English
ページ(範囲)49-61
ページ数13
ジャーナルElectronics and Communications in Japan, Part I: Communications (English translation of Denshi Tsushin Gakkai Ronbunshi)
71
12
出版ステータスPublished - 1988 12
外部発表はい

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 電子工学および電気工学

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