Name
Abstract | ||
|---|---|---|
•We propose a Kalman filter for the identification of low-rank systems.•It exploits a Kronecker product decomposition of the impulse response in tandem with low-rank approximations.•It is suitable for the identification of long length impulse responses, like in echo cancellation. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.sigpro.2019.107239 | Signal Processing |
Keywords | Field | DocType |
Adaptive filter,Echo cancellation,Impulse response decomposition,Kalman filter,Low-rank approximation,Nearest Kronecker product,System identification | Convergence (routing),Impulse response,Kronecker product,Control theory,Impulse (physics),Kalman filter,System identification,Recursion,Mathematics | Journal |
Volume | ISSN | Citations |
166 | 0165-1684 | 2 |
PageRank | References | Authors |
0.40 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Laura Dogariu | 1 | 6 | 3.92 |
| Constantin Paleologu | 2 | 227 | 35.46 |
| Jacob Benesty | 3 | 32 | 5.57 |
| Silviu Ciochina | 4 | 285 | 35.23 |