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Joint design of fixed-rate source codes and multiresolution channel codes

Goldsmith, Andrea J. and Effros, Michelle (1998) Joint design of fixed-rate source codes and multiresolution channel codes. IEEE Transactions on Communications, 46 (10). pp. 1301-1312. ISSN 0090-6778. http://resolver.caltech.edu/CaltechAUTHORS:GOLieeetc98

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Abstract

We propose three new design algorithms for jointly optimizing source and channel codes. Our optimality criterion is to minimize the average end-to-end distortion. For a given channel SNR and transmission rate, our joint source and channel code designs achieve an optimal allocation of bits between the source and channel coders. Our three techniques include a source-optimized channel code, a channel-optimized source code, and an iterative descent technique combining the design strategies of the other two codes. The joint designs use channel-optimized vector quantization (COVQ) for the source code and rate compatible punctured convolutional (RCPC) coding for the channel code. The optimal bit allocation reduces distortion by up to 6 dB over suboptimal allocations and by up to 4 dB relative to standard COVQ for the source data set considered. We find that all three code designs have roughly the same performance when their bit allocations are optimized. This result follows from the fact that at the optimal bit allocation the channel code removes most of the channel errors, in which case the three design techniques are roughly equivalent. We also compare the robustness of the three techniques to channel mismatch. We conclude the paper by relaxing the fixed transmission rate constraint and jointly optimizing the transmission rate, source code, and channel code.


Item Type:Article
Additional Information:© Copyright 1998 IEEE. Reprinted with permission. Paper approved by E. Ayanoğlu, the Editor for Communication Theory and Coding Applications of the IEEE Communications Society. Manuscript received July 27, 1997; revised February 13, 1998. The work of A.J. Goldsmith was supported by the Office of Naval Research under Grant NAV-5X-N149510861 and by the National Science Foundation under CAREER Award NCR-9501452. The work of M. Effros was supported by the National Science Foundation under CAREER Award MIP-9501977 and by a grant from the Powell Foundation and donations from Intel’s 2000 program. This paper was presented in part at the IEEE International Communications Conference, Montreal, P.Q., Canada, June 1997. The authors gratefully acknowledge the anonymous reviewers for their detailed critiques. Their comments and suggestions helped to greatly improve the clarity of the paper.
Subject Keywords:Joint source/channel coding, optimal bit allocation, RCPC channel code, vector quantization, network information theory, joint source and channel coding
Record Number:CaltechAUTHORS:GOLieeetc98
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:GOLieeetc98
Alternative URL:http://dx.doi.org/10.1109/26.725308
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:7295
Collection:CaltechAUTHORS
Deposited By: Archive Administrator
Deposited On:26 Jan 2007
Last Modified:26 Dec 2012 09:30

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