Computer Science – Information Theory
Scientific paper
2005-08-02
Computer Science
Information Theory
To appear in Proc. 2005 IEEE International Symposium on Information Theory, Adelaide, Australia, September 4-9, 2005
Scientific paper
Consider data transmission over a binary-input additive white Gaussian noise channel using a binary low-density parity-check code. We ask the following question: Given a decoder that takes log-likelihood ratios as input, does it help to modify the log-likelihood ratios before decoding? If we use an optimal decoder then it is clear that modifying the log-likelihoods cannot possibly help the decoder's performance, and so the answer is "no." However, for a suboptimal decoder like the linear programming decoder, the answer might be "yes": In this paper we prove that for certain interesting classes of low-density parity-check codes and large enough SNRs, it is advantageous to truncate the log-likelihood ratios before passing them to the linear programming decoder.
Feldman Jon
Koetter Ralf
Vontobel Pascal O.
No associations
LandOfFree
The Benefit of Thresholding in LP Decoding of LDPC Codes does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with The Benefit of Thresholding in LP Decoding of LDPC Codes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The Benefit of Thresholding in LP Decoding of LDPC Codes will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-615487