Blind Source Separation

Advances in Theory, Algorithms and Applications

de

,

Éditeur :

Springer


Collection :

Signals and Communication Technology

Paru le : 2014-05-21



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Description

Blind Source Separation intends to report the new results of the efforts on the study of Blind Source Separation (BSS). The book collects novel research ideas and some training in BSS, independent component analysis (ICA), artificial intelligence and signal processing applications. Furthermore, the research results previously scattered in many journals and conferences worldwide are methodically edited and presented in a unified form. The book is likely to be of interest to university researchers, R&D engineers and graduate students in computer science and electronics who wish to learn the core principles, methods, algorithms and applications of BSS.
Dr. Ganesh R. Naik works at University of Technology, Sydney, Australia; Dr. Wenwu Wang works at University of Surrey, UK.
Pages
551 pages
Collection
Signals and Communication Technology
Parution
2014-05-21
Marque
Springer
EAN papier
9783642550157
EAN EPUB
9783642550164

Informations sur l'ebook
Nombre pages copiables
5
Nombre pages imprimables
55
Taille du fichier
11561 Ko
Prix
94,94 €