Name
Abstract | ||
|---|---|---|
This paper discusses adaptive filtering algorithms and proposes a fast algorithm based on vector plots analysis, that is different from the previous adaptive filtering algorithms. By introducing approaches of mathematical geometrical analysis to study adaptive filtering, the paper inquires into vector plots structure of least mean squares (LMS) algorithm and geometrical feature of algorithm convergence and seeks effective fast algorithm on the basis of geometrical analysis. Numerical simulations are given to show the efficiency and superiority of the new algorithm. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICARCV.2004.1469480 | ICARCV |
Keywords | Field | DocType |
vector plots structure,vector plots analysis,convergence,least mean squares methods,adaptive filtering,adaptive filters,mathematical geometrical analysis,least mean squares algorithm,geometry,vectors,algorithm convergence,lms algorithm,least mean square,numerical simulation,adaptive filter | Convergence (routing),Least mean squares filter,Adaptive filtering algorithm,Computer science,Geometric analysis,Algorithm,Adaptive filter,Algorithm convergence,Multidelay block frequency domain adaptive filter,Recursive least squares filter | Conference |
Volume | ISSN | ISBN |
3 | 2474-2953 | 0-7803-8653-1 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Senping Tian | 1 | 15 | 8.70 |
| Shengli Xie | 2 | 2530 | 161.51 |
| Shutang Liu | 3 | 51 | 11.49 |