Name
Abstract | ||
|---|---|---|
This paper proposes a new variable step-size least-mean-square (VSLMS) algorithm with an approach in which a gradient-based weighted average is used to improve the weakness of previous VSLMS for application to unknown channel estimation or system identification in low-SNR or colored input environments. The proposed scheme leads to a faster convergence rate and a lower misadjustment error. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/LSP.2009.2027653 | IEEE Signal Processing Letters |
Keywords | DocType | Volume |
Least squares approximation,Convergence,Finite impulse response filter,Signal processing algorithms,Adaptive filters,Channel estimation,Error correction,Noise reduction,Noise measurement,Colored noise | Journal | 16 |
Issue | ISSN | Citations |
12 | 1070-9908 | 1 |
PageRank | References | Authors |
0.35 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuanping Li | 1 | 48 | 6.10 |
| Jeng-Kuang Hwang | 2 | 71 | 16.18 |