Improved tree-structured vector quantizer

David Jonathan Miller, Kenneth Rose

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Tree-structured vector quantization (TSVQ) is an important alternative to full-search vector quantization since it reduces the encoding search complexity from O(N) to O(log(N)), where N is the decoder codebook size, while incurring some additional distortion. Some pertinent solutions are outlined.

Original languageEnglish (US)
Title of host publicationProceedings of the 1993 IEEE International Symposium on Information Theory
PublisherPubl by IEEE
Number of pages1
ISBN (Print)0780308786
StatePublished - Jan 1 1993
EventProceedings of the 1993 IEEE International Symposium on Information Theory - San Antonio, TX, USA
Duration: Jan 17 1993Jan 22 1993

Publication series

NameProceedings of the 1993 IEEE International Symposium on Information Theory

Other

OtherProceedings of the 1993 IEEE International Symposium on Information Theory
CitySan Antonio, TX, USA
Period1/17/931/22/93

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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