Name
Abstract | ||
|---|---|---|
This work explains a new method for blind separation of a linear mixture of sources, based on geometrical considerations concerning
the observation space. This new method is applied to a mixture of several sources and it obtains the estimated coefficients
of the unknown mixture matrix A and separates the unknown sources. In this work, the principles of the new method and a description
of the algorithm are shown.
|
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-30110-3_45 | ICA |
Field | DocType | Citations |
Discrete mathematics,Signal processing,Gaussian signal,Matrix (mathematics),Computer science,Algorithm,Gaussian,Independent component analysis,Statistics,Blind signal separation,Source separation | Conference | 0 |
PageRank | References | Authors |
0.34 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manuel Rodríguez Álvarez | 1 | 12 | 3.37 |
| Fernando Rojas Ruiz | 2 | 34 | 7.37 |
| Rubén Martín-Clemente | 3 | 35 | 9.81 |
| I. Rojas | 4 | 1750 | 143.09 |
| Carlos García Puntonet | 5 | 107 | 25.86 |