NDLI: An Information-Spectrum Approach to Weak Variable-Length Source Coding With Side-Information

Content Provider	IEEE Xplore Digital Library
Author	Kuzuoka, S. Watanabe, S.
Copyright Year	1963
Abstract	This paper studies variable-length (VL) source coding of general sources with side-information. Novel one-shot coding bounds for Slepian-Wolf (SW) coding, which give nonasymptotic tradeoff between the error probability and the codeword length of VL-SW coding, are established. One-shot results are applied to asymptotic analysis, and a general formula for the optimal coding rate achievable by weakly lossless VL-SW coding (i.e., VL-SW coding with vanishing error probability) is derived. Our general formula reveals how the encoder side-information and/or VL coding improve the optimal coding rate in the general setting. In addition, it is shown that if the encoder side-information is useless in weakly lossless VL coding then it is also useless even in the case where the error probability may be positive asymptotically.
Sponsorship	IEEE Information Theory Society
Starting Page	3559
Ending Page	3573
Page Count	15
File Size	450330
File Format	PDF
ISSN	00189448
Volume Number	61
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Source coding Error probability Decoding Zinc Random variables Switches weak variable-length coding source coding information-spectrum method multiterminal source coding one-shot coding theorem side information Slepian-Wolf coding $\varepsilon $ source coding side-information
Content Type	Text
Resource Type	Article
Subject	Library and Information Sciences Information Systems Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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