DocumentCode
3273961
Title
Optimal permutation codes for uniform sources
Author
Goyal, Vivek K. ; Savari, Serap A. ; Wang, Wei
Author_Institution
Digital Fountain, Fremont, CA, USA
fYear
2001
fDate
2001
Firstpage
30
Abstract
Permutation codes are vector quantizers whose code vectors are related by permutations and, in one variant, sign changes. Asymptotically, as the vector dimension grows, optimal permutation code design is identical to optimal entropy-constrained scalar quantizer (ECSQ) design. However, contradicting intuition and previously published assertions, there are finite block length permutation codes that perform better than the best ones with asymptotically large length; thus, there are permutation codes whose performances cannot be matched by ECSQ. Specific counterexamples are created with a memoryless uniform source
Keywords
codes; rate distortion theory; source coding; vector quantisation; ECSQ; code vectors; entropy-constrained scalar quantizer; finite block length permutation codes; memoryless uniform source; optimal permutation codes; rate-distortion sense; sign changes; vector dimension; vector quantizers; Encoding; Statistical distributions;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
Conference_Location
Washington, DC
Print_ISBN
0-7803-7123-2
Type
conf
DOI
10.1109/ISIT.2001.935893
Filename
935893
Link To Document