Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
We present a new model for LT codes which simplifies the analysis of the error probability of decoding by belief propagation. For any given degree distribution, we provide the first rigorous expression for the limiting bit-error probability as the length of the code goes to infinity via recent results in random hypergraphs by Darling and Norris, Ann. Appl. Probab., 2005. For a code of finite length, we provide an algorithm for computing the probability of block-error of the decoder. This algorithm improves by a linear factor the algorithm of Karp, Luby, and Shokrollahi, Proc. of ISIT, 2004.
Andreas Peter Burg, Yifei Shen, Yuqing Ren, Hassan Harb
Olivier Sauter, Federico Alberto Alfredo Felici, Simon Van Mulders