Computer Science – Information Theory
Scientific paper
2011-05-16
Computer Science
Information Theory
Scientific paper
A new property which relies on the linear programming (LP) decoder, the approximate maximum-likelihood certificate (AMLC), is introduced. When using the belief propagation decoder, this property is a measure of how close the decoded codeword is to the LP solution. Using upper bounding techniques, it is demonstrated that the conditional frame error probability given that the AMLC holds is, with some degree of confidence, below a threshold. In channels with low noise, this threshold is several orders of magnitude lower than the simulated frame error rate, and our bound holds with very high degree of confidence. In contrast, showing this error performance by simulation would require very long Monte Carlo runs. When the AMLC holds, our approach thus provides the decoder with extra error detection capability, which is especially important in applications requiring high data integrity.
Burshtein David
Goldenberg Idan
No associations
LandOfFree
The approximate maximum-likelihood certificate 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 approximate maximum-likelihood certificate, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The approximate maximum-likelihood certificate will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-76849