Variable region vector quantization

Yasuo Matsuyama

Research output: Contribution to journalArticle

Abstract

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)
Volume71
Issue number12
Publication statusPublished - 1988 Dec
Externally publishedYes

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Variable region vector quantization'. Together they form a unique fingerprint.

  • Cite this