A vector quantization approach to universal noiseless coding and quantization

DOI10.1109/18.508836zbMath0856.94007OpenAlexW2156835676MaRDI QIDQ4885713

Michelle Effros, Philip A. Chou, Robert M. Gray

Publication date: 26 February 1997

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://authors.library.caltech.edu/320/

zbMATH Keywords

compressionvector quantizationtwo-stage codeuniversal noiseless codes

Mathematics Subject Classification ID

Source coding (94A29)

Related Items (1)

Complexity-compression tradeoffs in lossy compression via efficient random codebooks and databases

This page was built for publication: A vector quantization approach to universal noiseless coding and quantization