Gaussian Approximation for LDPC Codes
Today, LDPC codes have become one of the hottest topics in coding theory. Unlike many other classes of cods LDPC codes are already equipped with very fast (probabilistic) encoding and decoding algorithm. The decoding of LDPC codes are implemented through message-passing algorithm. Passed messages can be modeled as Gaussian variables. In this paper, the new approximate method for calculation of statistical parameters of these Gaussian variables is proposed. Based on proposed method, we can be able to estimate the threshold level of noise of regular LDPC codes over AWGN channels.
LDPC codes sum-product algorithm noise threshold iterative decoding and Gaussian model
S. Asoodeh H. Ramezani H. Samimi
Electrical and Computer Engineering Shahid Beheshti University Tehran, Iran Electrical and Computer Engineering Tarbiat Modarres University Tehran, Iran
国际会议
上海
英文
2007-09-21(万方平台首次上网日期,不代表论文的发表时间)