Abstract | ||
---|---|---|
An algorithm of improving the performance of iter- ative decoding on perpendicular magnetic recording is presented. This algorithm follows on the authors' previous works on the parallel and serial concatenated turbo codes and low-density parity-check codes. The application of this algorithm with signal- to-noise ratio mismatch technique shows promising results in the presence of media noise. We also show that, compare to the standard iterative decoding algorithm, an improvement of within one order of magnitude can be achieved. |
Year | Venue | Keywords |
---|---|---|
2005 | Clinical Orthopaedics and Related Research | signal to noise ratio,information theory,turbo code |
Field | DocType | Volume |
Concatenated error correction code,Mathematical optimization,Sequential decoding,Computer science,Serial concatenated convolutional codes,Turbo code,Algorithm,Theoretical computer science,Concatenation,Decoding methods,List decoding,Iterative Viterbi decoding | Journal | abs/cs/050 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
E. Papagiannis | 1 | 0 | 0.34 |
C. Tjhai | 2 | 24 | 6.02 |
Mohammed Ahmed | 3 | 8 | 2.50 |
A. Ambroze | 4 | 70 | 13.00 |
Martin Tomlinson | 5 | 106 | 19.89 |