DocumentCode
181600
Title
An improvement of approximate BP decoding
Author
Hosoya, Gou ; Yashima, Hiroyuki
Author_Institution
Dept. of Manage. Sci., Tokyo Univ. of Sci., Tokyo, Japan
fYear
2014
fDate
26-29 Oct. 2014
Firstpage
186
Lastpage
190
Abstract
In this study, we present new methods for piece-wise linear approximation of Min-Sum (MS) decoding algorithm with good trade-off between performance and complexity. By analysis based on density evolution, the performance of the proposed method is identical to that of the Belief-Propagation decoding algorithm. The increment of the complexity of the proposed algorithm is small compared with the MS decoding algorithm. Moreover simulation result also shows effectiveness of the proposed algorithm.
Keywords
approximation theory; decoding; BP decoding; MS decoding algorithm; belief-propagation decoding algorithm; density evolution; min-sum decoding algorithm; piecewise linear approximation; Algorithm design and analysis; Approximation algorithms; Decoding; Iterative decoding; Linear approximation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory and its Applications (ISITA), 2014 International Symposium on
Conference_Location
Melbourne, VIC
Type
conf
Filename
6979829
Link To Document