Name
Abstract | ||
|---|---|---|
The authors propose a new solution to the independent component analysis (ICA) problem. In the two-dimensional case, we prove that under the whiteness constraint some fourth-order contrasts may be approximated by a sinusoid. Thus, the minimization of the contrast reduces to computing its phase. The novel approach, called SICA (sinusoidal ICA), uses the 'Jacobi optimization' to cope with higher dimensions. The method presented has a good performance along with a low computational cost. Some experiments with blind separation of audio and synthetic sources are included to compare the algorithm to other well-known approaches. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1109/ICASSP.2001.940224 | ICASSP '01). 2001 IEEE International Conference |
Keywords | Field | DocType |
array signal processing,audio signal processing,higher order statistics,matrix algebra,optimisation,ICA,Jacobi optimization,audio sources,blind source separation,contrast minimization,independent component analysis,low computational cost,sinusoidal fourth-order contrasts,synthetic sources,whiteness constraint | Mathematical optimization,Polynomial,Computer science,Higher-order statistics,Matrix decomposition,Independent component analysis,Audio signal processing,Blind signal separation,Source separation,Constrained optimization | Conference |
Volume | ISSN | ISBN |
5 | 1520-6149 | 0-7803-7041-4 |
Citations | PageRank | References |
5 | 0.58 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Murillo-Fuentes, J.J. | 1 | 37 | 6.55 |
| F.J. Gonzalez-Serrano | 2 | 107 | 11.18 |