Name
Abstract | ||
|---|---|---|
The Euclidean projection involved in the decoding of low-density parity-check (LDPC) codes with the alternating direction method of multipliers (ADMM) can be simplified by jointly using uniform quantization and look-up tables (LUTs). However, the memory requirement for the original LUT-based ADMM decoding is comparatively large. In this letter, a nonuniform quantization method is proposed to save ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LSP.2017.2758809 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Quantization (signal),Decoding,Convex functions,Parity check codes,Table lookup,Signal to noise ratio,Memory management | Lookup table,Mathematical optimization,Low-density parity-check code,Signal-to-noise ratio,Mean squared error,Algorithm,Memory management,Convex function,Decoding methods,Quantization (signal processing),Mathematics | Journal |
Volume | Issue | ISSN |
25 | 1 | 1070-9908 |
Citations | PageRank | References |
3 | 0.39 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaopeng Jiao | 1 | 16 | 2.42 |
| Yu-Cheng He | 2 | 3 | 1.06 |
| Jianjun Mu | 3 | 8 | 3.23 |