DocumentCode :
2948771
Title :
Fixed Delay Optimal Joint Source-Channel Coding for Finite-Memory Systems
Author :
Mahajan, Aditya ; Teneketzis, Demosthenis
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI
fYear :
2006
fDate :
9-14 July 2006
Firstpage :
2319
Lastpage :
2323
Abstract :
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
Keywords :
Markov processes; combined source-channel coding; decoding; Markov sources; decoder; decoding strategies; finite memory encoder; finite-memory systems; fixed delay optimal joint source-channel coding; point-to-point communication; sequential decomposition; Costs; Decoding; Delay effects; Delay estimation; Infinite horizon; Tin; Transmitters; USA Councils; Wireless sensor networks; Zinc;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
Electronic_ISBN :
1-4244-0504-1
Type :
conf
DOI :
10.1109/ISIT.2006.261981
Filename :
4036384
Link To Document :
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