Tallenna
Independent Component Analysis
Independent Component Analysis (ICA) is a signal-processing method to extract independent sources given only observed data that are mixtures of the unknown sources. Based on theories in probabilistic models, information theory and artificial neural networks, several unsupervised learning algorithms are presented that can perform ICA.
- Alaotsikko
- Theory and Applications
- Kirjailija
- Te-Won Lee
- Painos
- 1st ed. Softcover of orig. ed. 1998
- ISBN
- 9781441950567
- Kieli
- englanti
- Paino
- 310 grammaa
- Julkaisupäivä
- 3.12.2010
- Kustantaja
- Springer-Verlag New York Inc.
- Sivumäärä
- 210
