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Generalizing the Transfer in Iterative Error Correction: Dissection Decoding
Sorger, Ulrich; Heim, Alex
2010In International Zurich Seminar on Communications
Peer reviewed
 

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Keywords :
SIGNAL TRANSMISSION DATA COMMUNICATIONS
Abstract :
[en] Iterative decoding with message-passing is consid- ered. The message format is generalized from the classical, single probability value for each code symbol to a probability distribu- tion by introducing an additional logarithmic probability mea- sure. Thereby, the representation of the probability distributions underlying the constituent code constraints by the messages is improved in terms of the Kullback-Leibler divergence. Simulation shows that this improvement can transfer to the error correcting performance.
Disciplines :
Computer science
Author, co-author :
Sorger, Ulrich ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Heim, Alex
External co-authors :
yes
Language :
English
Title :
Generalizing the Transfer in Iterative Error Correction: Dissection Decoding
Publication date :
2010
Event name :
Int. Zurich Seminar on Communications
Event date :
2010
Audience :
International
Journal title :
International Zurich Seminar on Communications
Peer reviewed :
Peer reviewed
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