Name
Abstract | ||
|---|---|---|
We address several aspects of high-rate convolutional codes. Some results from an exhaustive search for codes optimized with respect to their distance spectrum, and encoders optimized with respect to their input-output weight enumerating function are presented. An additive version of the dual-SISO algorithm suitable to decode such codes with limited complexity is described, together with simulation results for both stand-alone and concatenated codes showing the codes performance improvement. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ITW.2002.1115410 | IEEE Transactions on Information Theory |
Keywords | DocType | ISBN |
concatenated codes,convolutional codes,decoding,dual codes,error statistics,search problems,distance spectrum,dual-siso algorithm,exhaustive search,high-rate codes,input-output weight enumerating function,inverse puncturing technique,simulation results,stand-alone codes,convolutional code,code optimization,input output | Conference | 0-7803-7629-3 |
Citations | PageRank | References |
1 | 0.36 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amat Alexandre Graell i | 1 | 456 | 65.56 |
| S. Benedetto | 2 | 883 | 167.24 |
| Guido Montorsi | 3 | 1032 | 179.05 |