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Fixed Delay Optimal Joint Source-Channel Coding for Finite-Memory Systems

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2 Author(s)
Mahajan, A. ; Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI ; Teneketzis, D.

We consider zero-delay or fixed finite-delay joint source channel coding of Markov sources using finite memory encoder and decoder. The objective is to choose designs that minimize expected total distortion over a finite horizon, expected discounted distortion over an infinite horizon and average distortion per unit time over an infinite horizon. The above problem is a dynamic team with non-classical information structure. We develop a sequential decomposition for this problem. The main contribution of this paper is to provide a systematic methodology for determination of optimal joint source-channel encoding-decoding strategies for zero-delay or fixed finite-delay point-to-point communication with limited memory

Published in:
Information Theory, 2006 IEEE International Symposium on

Date of Conference: 9-14 July 2006

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