Alvarez, M. and Rojas, F. and Lang, Elmar W. and Rojas, I. and Puntonet, C. and Salmeron, M. (2004) Lattice ICA for the separation of speech signals. In: Verleysen, Michel, (ed.) Proceedings / 12th European Symposium on Artificial Neural Networks, ESANN 2004: Bruges, Belgium, April 28 - 30, 2004. d-side, Evere, Belgium, pp. 337-342.
Full text not available from this repository.
Other URL: http://www.dice.ucl.ac.be/esann/index.php?pg=esann04_programme
Abstract
This work explains a method for blind separation of a linear mixture of sources, through geometrical considerations concerning the scatter plot. This 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.
| Item Type: | Book Section |
|---|---|
| Institutions: | Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang |
| Projects: | Graduiertenkolleg Nichtlinearität und Nichtgleichgewicht |
| Subjects: | 500 Science > 530 Physics |
| Status: | Published |
| Refereed: | Yes, this version has been refereed |
| Created at the University of Regensburg: | Yes |
| Owner: | Redakteur Physik |
| Deposited On: | 20 Mar 2007 |
| Last Modified: | 22 Sep 2010 08:56 |
| Item ID: | 1644 |
- ASCII Citation
- BibTeX
- Dublin Core
- EndNote
- HTML Citation
- METS
- OAI-ORE Resource Map (Atom Format)
- OAI-ORE Resource Map (RDF Format)
- RDF+N-Triples
- RDF+N3
- RDF+XML
- Refer
- Reference Manager
- Simple Metadata
- XML
- xMetaDissPlus
Literature of the same author
Bookmark
Deutsch
in this repository
Citeulike
Connotea
Del.icio.us
Digg
Facebook