Name
Abstract | ||
|---|---|---|
An improved set-membership affine-projection (AP) adaptive-filtering algorithm is proposed. The new algorithm uses two error bounds that are estimated during the learning phase and by this means significantly reduced steady-state misalignment is achieved as compared to those in the conventional AP and set-membership AP algorithms while achieving similar convergence speed and re-adaptation capability. In addition, the proposed algorithm offers robust performance with respect to the error bound, projection order, impulsive-noise interference, and in tracking abrupt changes in the underlying system. These features of the proposed algorithm are demonstrated through extensive simulation results in system-identification and echo-cancellation applications. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TSP.2011.2170980 | IEEE Transactions on Signal Processing |
Keywords | DocType | Volume |
adaptive filters,echo suppression,adaptive-filtering algorithm,echo cancellation,error bounds,learning phase,robust set-membership affine-projection,steady-state misalignment,system identification,Affine-projection (AP) algorithms,robust adaptive-filtering algorithms,set-membership algorithms | Journal | 60 |
Issue | ISSN | Citations |
1 | 1053-587X | 18 |
PageRank | References | Authors |
0.72 | 12 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Md. Zulfiquar Ali Bhotto | 1 | 77 | 6.42 |
| A. Antoniou | 2 | 267 | 30.79 |