DocumentCode :
2939979
Title :
Multiterminal estimation theory with binary symmetric source
Author :
Shimokawa, Hidetoshi ; Amari, Shun-Ichi
Author_Institution :
Dept. of Math. Eng. & Inf. Phys., Tokyo Univ., Japan
fYear :
1995
fDate :
17-22 Sep 1995
Firstpage :
447
Abstract :
The multiterminal estimation theory discuss the maximum Fisher information under the Shannon information restriction. In the single-terminal case, it is trivial problem because the maximum Fisher information can be attained at asymptotically 0-rate. Han and Amari (1993) discuss this problem generally and give the lower bound of the maximum Fisher information under rate restriction. Its approach is based on Slepian-Wolf type rate region. We give an example, binary symmetric case, which shows that sufficient statistics can be sent at the rate outside of SW-region using Korner and Morton´s (1979) method, giving a better bound than the one of Han and Amari. Finally we give the general form of such parametric family of which sufficient statistics can be sent at the rate used in the KM type region
Keywords :
channel capacity; estimation theory; information theory; statistical analysis; Korner and Morton method; Shannon information; Slepian-Wolf type rate region; binary symmetric source; lower bound; maximum Fisher information; multiterminal estimation theory; parametric family; rate restriction; sufficient statistics; Decoding; Entropy; Estimation error; Estimation theory; Parametric statistics; Physics; Probability distribution; Statistical distributions; Time sharing computer systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location :
Whistler, BC
Print_ISBN :
0-7803-2453-6
Type :
conf
DOI :
10.1109/ISIT.1995.550434
Filename :
550434
Link To Document :
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