An on-line universal lossy data compression algorithm via continuous codebook refinement--Part I: Basic results

A new on-line universal lossy data compression algorithm is presented. For finite memoryless sources with unknown statistics, its performance asymptotically approaches the fundamental rate distortion limit. The codebook is generated on the fly, and continuously adapted by simple rules. There is no s...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:IEEE transactions on information theory Ročník 42; číslo 3; s. 803 - 821
Hlavní autori: Zhang, Zhen, Wei, Victor K
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 1996
Predmet:
Computer science
Cryptography
Data compression
ISSN:0018-9448, 1557-9654
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:A new on-line universal lossy data compression algorithm is presented. For finite memoryless sources with unknown statistics, its performance asymptotically approaches the fundamental rate distortion limit. The codebook is generated on the fly, and continuously adapted by simple rules. There is no separate codebook training or codebook transmission. Candidate codewords are randomly generated according to an arbitrary and possibly suboptimal distribution. Through a carefully designed 'gold washing' or 'information-theoretic sieve' mechanism, good codewords and only good codewords are promoted to permanent status with high probability. We also determine the rate at which our algorithm approaches the fundamental limit.
Bibliografia:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-2
content type line 23
ISSN:0018-9448
1557-9654
DOI:10.1109/18.490546