DocumentCode
3277775
Title
An iterative algorithm for calculating posterior probability and model representation
Author
Matsushima, Toshiyasu ; Matsushima, Tomoko K. ; Hirasawa, Shigeichi
Author_Institution
Waseda Univ., Tokyo, Japan
fYear
2001
fDate
2001
Firstpage
236
Abstract
We introduce a representation method of probability models that can be applied to any code such as turbo, low density parity check (LDPC) or tail-biting code. Moreover, we propose an iterative algorithm that calculates marginal posterior probabilities on the introduced probability model class. The decoding error probability for the LDPC codes of the proposed algorithm is less than that of the sum-product algorithm
Keywords
error statistics; iterative decoding; turbo codes; Bayesian network; LDPC code; belief propagation; decoding error probability; iterative algorithm; log linear model; low density parity check code; marginal posterior probability; posterior probability; probability model representation; sum-product algorithm; tail-biting code; turbo code; Bayesian methods; Error probability; Information geometry; Iterative algorithms; Iterative decoding; Parity check codes; Random variables; Sum product algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
Conference_Location
Washington, DC
Print_ISBN
0-7803-7123-2
Type
conf
DOI
10.1109/ISIT.2001.936099
Filename
936099
Link To Document