Name
Title | ||
|---|---|---|
New fast density evolution method for low density parity-check codes using higher-order statistic |
Abstract | ||
|---|---|---|
Density evolution (DE) is a technique for tracking the distribution of the log likelihood ratio (LLR) messages exchanged between the variable nodes and the check nodes in a bipartite graph. It is widely assumed that these distributions are close to Gaussian. However, in many scenarios, this assumption is not valid, for example, the case that the signal to noise ratio is low, or the degree of varia... |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1049/iet-com:20060151 | IET Communications |
Keywords | Field | DocType |
Probability density function,Parity check codes,Complexity theory,Approximation methods,Computational modeling,AWGN,Random variables | Combinatorics,Likelihood-ratio test,EXIT chart,Low-density parity-check code,Algorithm,Error detection and correction,Real-time computing,Gaussian,Order statistic,Additive white Gaussian noise,Mathematics,Method of moments (statistics) | Journal |
Volume | Issue | ISSN |
2 | 1 | 1751-8628 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Akhlaghi | 1 | 0 | 0.34 |
| A. Falahati | 2 | 11 | 1.73 |
| A. K. Khandani | 3 | 297 | 19.65 |