On-line universal lossy data compression algorithm via continuous codebook refinement - Part I: basic results

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Univ of Southern California, Los Angeles, United States ^{[1
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IEEE Trans Inf Theory | / 3卷 / 803-821期

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Manuscript received May 24; 1993; revised June 12; 1995. The material in this paper was presented in part at the IEEE International Symposium on Information Theory; Trondheim; Norway; 1994. Research of Z. Zhang was supported in part by the NSF under Grant NCR-91205265. Z. Zhang is with the Communication Sciences Institute; Electrical Engineering-Systems; University of Southern California; Los Angeles; CA 90089-2565 USA. V. K. Wei is with the Department of Information Engineering; The Chinese University of Hong Kong; Shatin; New Territory; Hong Kong. Publisher Item Identifier S 001 8-9448(96)0291:3-6;

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共 4 条

[1] An on-line universal lossy data compression algorithm via continuous codebook refinement .1. Basic results
Zhang, Z
Wei, VK
IEEE TRANSACTIONS ON INFORMATION THEORY, 1996, 42 (03) : 803 - 821
[2] An on-line universal lossy data compression algorithm via continuous codebook refinement - Part III: Redundancy analysis
Yang, EH
Zhang, Z
IEEE TRANSACTIONS ON INFORMATION THEORY, 1998, 44 (05) : 1782 - 1801
[3] On-line universal lossy data compression algorithm via continuous codebook refinement - Part II: optimality for phi-mixing source models
Univ of Southern California, Los Angeles, United States
IEEE Trans Inf Theory, 3 (822-836):
[4] An on-line universal lossy data compression algorithm via continuous codebook refinement .2. Optimality for phi-mixing source models
Zhang, Z
Yang, EH
IEEE TRANSACTIONS ON INFORMATION THEORY, 1996, 42 (03) : 822 - 836

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