Stability analysis of natural gradient learning rules in overdetermined ICA
- Author
- SQUARTINI, S1 ; ARCANGELI, A1 ; PIAZZA, F1
[1] A3Lab, Dipartimento di Elettronica, Intelligenza Artificiale e Telecomunicazioni, Universitd Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy - Source
Signal processing. 2008, Vol 88, Num 3, pp 761-766, 6 p ; ref : 14 ref
- CODEN
- SPRODR
- ISSN
- 0165-1684
- Scientific domain
- Telecommunications
- Publisher
- Elsevier Science, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Natural gradient Overdetermined ICA Riemannian metrics Stability analysis
- Keyword (fr)
- Algorithme Analyse composante indépendante Apprentissage Critère stabilité Méthode gradient Métrique Riemann Taux convergence Traitement signal
- Keyword (en)
- Algorithm Independent component analysis Learning Stability criterion Gradient method Riemann metric Convergence rate Signal processing
- Keyword (es)
- Algoritmo Analisis componente independiente Aprendizaje Criterio estabilidad Método gradiente Métrico Riemann Relación convergencia Procesamiento señal
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05D Miscellaneous
- Discipline
- Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 19865808
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.sigpro.2007.10.001 
https://dx.doi.org/10.1016/j.sigpro.2007.10.001
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