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.
|Number of pages||13|
|Journal||Electronics and Communications in Japan, Part I: Communications (English translation of Denshi Tsushin Gakkai Ronbunshi)|
|Publication status||Published - 1988 Dec|
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering