Name
Abstract | ||
|---|---|---|
The identification of bilinear forms is a challenging problem since its parameter space may be very large and the adaptive filters should be able to cope with this aspect. Recently, the recursive least-squares tailored for bilinear forms (namely RLS-BF) was developed in this context. In order to reduce its computational complexity, two versions based on the dichotomous coordinate descent (DCD) method are proposed in this paper. Simulation results indicate the good performance of these algorithms, with appealing features for practical implementations. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.23919/EUSIPCO.2018.8553092 | European Signal Processing Conference |
Keywords | Field | DocType |
Adaptive filter,recursive least-squares algorithm,dichotomous coordinate descent,bilinear forms,system identification,multiple-input/single-output system | Signal processing,Bilinear form,Computer science,Algorithm,Parameter space,Adaptive filter,Coordinate descent,Recursion,Signal processing algorithms,Computational complexity theory | Conference |
ISSN | Citations | PageRank |
2076-1465 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Camelia Elisei-Iliescu | 1 | 11 | 3.31 |
| Cristian Stanciu | 2 | 19 | 4.82 |
| Constantin Paleologu | 3 | 227 | 35.46 |
| Cristian Anghel | 4 | 16 | 4.38 |
| Silviu Ciochina | 5 | 285 | 35.23 |
| Jacob Benesty | 6 | 32 | 5.57 |