Name
Abstract | ||
|---|---|---|
We propose a novel filter-type equalizer to improve the solution of the linear minimum-mean squared-error (LMMSE) turbo equalizer, with computational complexity constrained to be quadratic in the filter length. When high-order modulations and/or large memory channels are used, the optimal BCJR equalizer is unavailable, due to its computational complexity. In this scenario, the filter-type LMMSE tu... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCOMM.2018.2832202 | IEEE Transactions on Communications |
Keywords | Field | DocType |
Equalizers,Decoding,Estimation,Computational complexity,Approximation algorithms,Receivers | Turbo,Equalization (audio),Computer science,A priori and a posteriori,Quadratic equation,Algorithm,Turbo equalizer,Expectation propagation,Finite impulse response,Computational complexity theory | Journal |
Volume | Issue | ISSN |
66 | 9 | 0090-6778 |
Citations | PageRank | References |
5 | 0.45 | 24 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Irene Santos Velázquez | 1 | 16 | 1.72 |
| Juan José Murillo-Fuentes | 2 | 182 | 23.93 |
| Eva Arias-de-Reyna | 3 | 40 | 6.22 |
| Pablo M. Olmos | 4 | 114 | 18.97 |