Name
Abstract | ||
|---|---|---|
This paper presents an analysis that justifies the improved performance of the multi-split LMS algorithm. It is shown that instead of reducing the eigenvalue ratio, the multi-split operation increases the diagonalization factor of the transformed input signal autocorrelation matrix, which assists the power normalized and time-varying step-size LMS algorithm used for updating the single parameters independently. Case studies and simulation results enable us to evaluate the improved performance of the multi-split LMS algorithm. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICASSP.2003.1201625 | ICASSP '03). 2003 IEEE International Conference |
Keywords | Field | DocType |
adaptive signal processing,correlation methods,least mean squares methods,matrix algebra,time-varying systems,adaptive signal processing,diagonalization factor,multi-split LMS algorithm,parameter updating,performance,power normalization,time-varying step-size,transformed input signal autocorrelation matrix | Least mean squares filter,Mathematical optimization,Normalization (statistics),Matrix algebra,Computer science,Autocorrelation matrix,Adaptive filter,Eigenvalues and eigenvectors | Conference |
Volume | ISSN | ISBN |
6 | 1520-6149 | 0-7803-7663-3 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Richard Demo Souza | 1 | 719 | 87.57 |
| Leonardo Silva Resende | 2 | 0 | 0.34 |
| Bellanger, M.G. | 3 | 326 | 138.83 |