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Robustness to channel variation in source coding for transmission across noisy channels

Effros, Michelle (2002) Robustness to channel variation in source coding for transmission across noisy channels. In: International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97), Munich, Germany, 21-24 April 1997. Vol.4. IEEE , Los Alamitos, CA, pp. 2961-2964. ISBN 0 8186 7919 0.

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We consider the problem of lossy source coding for transmission across an unknown or time-varying noisy channel. The objective is to design an optimal compression system for applications where the unknown channel characteristics are independently estimated at the channel encoder and decoder. Channel estimation reliability is allowed to vary from perfect channel identification to no channel identification. In each case, the goal in system design and operation is to achieve the best possible expected performance with respect to the unknown channel state and the accuracy of the channel estimators. We describe an optimal design technique and an algorithm for achieving optimal expected performance for the entire array of channel estimation accuracies. The resulting system achieves up to 9 dB improvement over the performance on a system designed assuming zero probability of error when used to encode a collection of medical brain scans for transmission across a finite state channel containing two equally probable binary symmetric channels with crossover probabilities .05 and .001.

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Additional Information:© Copyright 2002 IEEE. Reprinted with permission. This material is based upon work supported by NSF Grant No. MIP-9501977
Subject Keywords:decoding, image coding, medical image processing, noise, parameter estimation, source coding, time-varying channels, vector quantization, visual communication, source code design, joint source and channel coding, universal source coding
Record Number:CaltechAUTHORS:EFFicassp97b
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:7415
Deposited By: Lindsay Cleary
Deposited On:12 Feb 2007
Last Modified:02 Oct 2019 23:41

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