Abstract | ||
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•We proposes a novel SSAF algorithm with subband filter selection (SS-SSAF).•We suggest the variable step-size algorithm for SS-SSAF.•The proposed algorithms have fast convergence speed than SSAF.•The proposed algorithms have reduced average computational complexity than SSAF.•The proposed algorithms show demonstrated in the system identification. |
Year | DOI | Venue |
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2018 | 10.1016/j.sigpro.2018.05.027 | Signal Processing |
Keywords | Field | DocType |
Adaptive filter,Sign subband adaptive filter,Subband filter selection,Variable step size,Impulsive noise | Convergence (routing),Control theory,Root-mean-square deviation,Rate of convergence,Adaptive filter,System identification,Mathematics,Computational complexity theory | Journal |
Volume | ISSN | Citations |
152 | 0165-1684 | 0 |
PageRank | References | Authors |
0.34 | 16 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jaegeol Cho | 1 | 4 | 2.14 |
Hyun Jae Baek | 2 | 51 | 7.46 |
Bum Yong Park | 3 | 7 | 1.85 |
Jaewook Shin | 4 | 557 | 38.83 |