Name
Abstract | ||
|---|---|---|
Nonbinary LDPC codes have been shown to outperform currently used codes for magnetic recording and several other channels. Currently proposed nonbinary decoder architectures have very high complexity for high-throughput implementations and sacrifice error-correction performance to maintain realizable complexity. In this paper, we present an alternative decoding algorithm based on stochastic computation that has a very simple implementation and minimal performance loss when compared to the sum-product algorithm. We demonstrate the performance of the algorithm when applied to a GF(16) code and provide details of the hardware resources required for an implementation. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICC.2009.5199493 | IEEE Transactions on Communications |
Keywords | Field | DocType |
Decoding,Equations,Iterative decoding,Complexity theory,Mathematical model,Signal to noise ratio | Low-density parity-check code,Computer science,Field-programmable gate array,Stochastic process,Algorithm,Theoretical computer science,Real-time computing,Digital Video Broadcasting,Decoding methods,Additive white Gaussian noise,Gaussian noise,Computation | Journal |
Volume | Issue | ISSN |
61 | 3 | 0090-6778 |
Citations | PageRank | References |
13 | 1.04 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gabi Sarkis | 1 | 253 | 17.23 |
| Shie Mannor | 2 | 3340 | 285.45 |
| Warren J. Gross | 3 | 1106 | 113.38 |