Variable region vector quantization

Yasuo Matsuyama*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)49-61
Number of pages13
JournalElectronics and Communications in Japan, Part I: Communications (English translation of Denshi Tsushin Gakkai Ronbunshi)
Issue number12
Publication statusPublished - 1988 Dec
Externally publishedYes

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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