A Tight Estimate for Decoding Error-Probability of LT Codes Using Kovalenko's Rank Distribution
Information Theory
2009-01-19 v2 Discrete Mathematics
Combinatorics
math.IT
Abstract
A new approach for estimating the Decoding Error-Probability (DEP) of LT codes with dense rows is derived by using the conditional Kovalenko's rank distribution. The estimate by the proposed approach is very close to the DEP approximated by Gaussian Elimination, and is significantly less complex. As a key application, we utilize the estimates for obtaining optimal LT codes with dense rows, whose DEP is very close to the Kovalenko's Full-Rank Limit within a desired error-bound. Experimental evidences which show the viability of the estimates are also provided.
Cite
@article{arxiv.0901.1762,
title = {A Tight Estimate for Decoding Error-Probability of LT Codes Using Kovalenko's Rank Distribution},
author = {Ki-Moon Lee and Hayder Radha and Beom-Jin Kim},
journal= {arXiv preprint arXiv:0901.1762},
year = {2009}
}
Comments
Submitted to ISIT 2009, Seoul, Korea