NDLI: Joint source-channel decoding for variable-length encoded data by exact and approximate MAP sequence estimation

Content Provider	IEEE Xplore Digital Library
Author	Park, M. Miller, D.J.
Copyright Year	1999
Description	Author affiliation: Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA (Park, M.)
Abstract	Joint source-channel decoding based on residual source redundancy is an effective paradigm for error-resilient data compression. While previous work only considered fixed rate systems, the extension of these techniques for variable-length encoded data was previously independently proposed by the authors, Park and Miller (see Proc. of Conf. on Info. Sciences and Systems, Princeton, N.J., 1998) and by Demir and Sayood (see Proc. of the Data Compression Conf., Snowbird, U.T., p.139-48, 1998). In this paper, we describe and compare the performance of a computationally complex exact maximum a posteriori (MAP) decoder, its efficient approximation, an alternative approximate MAP decoder, and an improved version of this decoder suggested here. Moreover, we evaluate several source and channel coding configurations. Our results show that the approximate MAP technique from Park et al. outperforms other approximate methods and provides substantial error protection to variable-length encoded data.
Starting Page	2451
Ending Page	2454
File Size	479298
Page Count	4
File Format	PDF
ISBN	0780350413
ISSN	15206149
DOI	10.1109/ICASSP.1999.760626
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-03-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decoding Redundancy Channel coding Protection State estimation Data compression Communication systems Error correction codes Entropy coding Error correction
Content Type	Text
Resource Type	Article

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