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