Abstract | ||
---|---|---|
An approximate channel-likelihood estimation algorithm is introduced for non-binary coded, square quadrature-amplitude-modulated systems. It is shown that the proposed approximation greatly simplifies the calculation of channel-likelihoods and yet provides results close to those based on exact calculations for non-binary low-density parity-check codes over the additive white Gaussian noise channel. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1109/LCOMM.2012.042312.120382 | IEEE Communications Letters |
Keywords | Field | DocType |
Table lookup,Parity check codes,Complexity theory,Quadrature amplitude modulation,Approximation methods,Decoding,Signal to noise ratio | Quadrature amplitude modulation,Computer science,Gaussian channels,Signal-to-noise ratio,Binary code,QAM,Algorithm,Communication channel,Real-time computing,Theoretical computer science,Decoding methods | Journal |
Volume | Issue | ISSN |
16 | 6 | 1089-7798 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Guanghua He | 1 | 0 | 0.68 |
Gabi Sarkis | 2 | 253 | 17.23 |
Saied Hemati | 3 | 119 | 13.64 |
Warren J. Gross | 4 | 1106 | 113.38 |
Baoming Bai | 5 | 353 | 63.90 |