Goldsmith, Andrea and Effros, Michelle (1997) Iterative joint design of source codes and multiresolution channel codes. In: International Conference on Communications (ICC '97), Montreal, Que., Canada, 8-12 June 1997. IEEE , Piscataway, NJ, pp. 319-323. ISBN 0 7803 3925 8 http://resolver.caltech.edu/CaltechAUTHORS:GOLicc97
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We propose an iterative design algorithm for jointly optimizing source and channel codes. The joint design combines channel-optimized vector quantization (COVQ) for the source code with rate-compatible punctured convolutional (RCPC) coding for the channel code. Our objective is to minimize the average end-to-end distortion. For a given channel SNR and transmission rate, our joint source and channel code design achieves an optimal allocation of bits between the source and channel coders. This optimal allocation can reduce distortion by up to 6 dB over suboptimal allocations for the source data set considered. We also compare the distortion of our joint iterative design with that of two suboptimal design techniques: COVQ optimized for a given channel bit-error-probability, and RCPC channel coding optimized for a given vector quantizer. We conclude by relaxing the fixed transmission rate constraint and jointly optimizing the transmission rate, source code, and channel code.
|Item Type:||Book Section|
|Additional Information:||© Copyright 1997 IEEE. Reprinted with permission. [A.G. was] [s]upported in part by ONR grant NAV-5X-Nl49510861. [M.E. was] [s]upported in part by NSF CAREER Award MIP-9501977.|
|Subject Keywords:||channel coding, convolutional codes, error statistics, iterative methods, rate distortion theory, source coding, vector quantization, source code design, network information theory, joint source and channel coding|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Lindsay Cleary|
|Deposited On:||13 Feb 2007|
|Last Modified:||26 Dec 2012 09:31|
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