Name
Title | ||
|---|---|---|
Sparse-befap: A fast implementation of fast affine projection avoiding explicit regularisation |
Abstract | ||
|---|---|---|
It is well known that régularisation of the covariance matrix is necessary in Affine Projection Algorithm (APA) based adaptive filters. A technique to achieve régularisation is using non-successive equations in the system of equations that is solved in the APA-algorithm, leading to the Sparse-APA algorithm [5] [4]. In this paper, a fast exact frequency domain implementation of Sparse-APA is derived which does not rely on any of the approximations which are found in the classical fast affine projection algorithms, while only a very small number of extra computations is needed. |
Year | Venue | Keywords |
|---|---|---|
2000 | EUSIPCO | mathematical model,vectors,frequency domain analysis |
Field | DocType | ISBN |
Small number,Frequency domain,Discrete mathematics,Digital signal processing,System of linear equations,Algorithm,Adaptive filter,Affine projection,Covariance matrix,Mathematics,Computation | Conference | 978-952-1504-43-3 |
Citations | PageRank | References |
1 | 0.43 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Geert Rombouts | 1 | 167 | 14.46 |
| Marc Moonen | 2 | 3673 | 326.91 |