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 :
بازگشت