Name
Title | ||
|---|---|---|
A low-complexity strategy for speeding up the convergence of convex combinations of adaptive filters |
Abstract | ||
|---|---|---|
In this work a low-complexity strategy for accelerating the convergence of convex combinations of adaptive filters is proposed. The idea is based on an instantaneous transfer of coefficients from a fast adaptive filter to a slow adaptive filter, which is performed according to a pre-defined window length. A theoretical model that is capable of predicting the excess mean squared error (EMSE) of the proposed strategy is also presented. Simulation results illustrate the good performance of the proposed strategy and the effectiveness of the proposed model to predict the EMSE. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICASSP.2012.6288684 | Acoustics, Speech and Signal Processing |
Keywords | Field | DocType |
adaptive filters,convergence of numerical methods,mean square error methods,EMSE,adaptive filters,convergence,convex combinations,excess mean squared error prediction,instantaneous transfer,low-complexity strategy,predefined window length,Adaptive filters,convex combinations,cooperative learning | Convergence (routing),Least squares,Complexity theory and organizations,Mathematical optimization,Computer science,Mean squared error,Regular polygon,Kernel adaptive filter,Adaptive filter,Steady state | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4673-0044-5 | 978-1-4673-0044-5 | 15 |
PageRank | References | Authors |
0.74 | 11 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vitor H. Nascimento | 1 | 163 | 30.26 |
| de Lamare, R.C. | 2 | 652 | 33.42 |