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Image of Nonlinear Blind Source Separation and Blind Mixture Identification

Electronic Resource

Nonlinear Blind Source Separation and Blind Mixture Identification

Deville, Yannick - Personal Name; Duarte, Leonardo Tomazeli - Personal Name; Hosseini, Shahram - Personal Name;

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This book provides a detailed survey of the methods that were recently developed to handle advanced versions of the blind source separation problem, which involve several types of nonlinear mixtures. Another attractive feature of the book is that it is based on a coherent framework. More precisely, the authors first present a general procedure for developing blind source separation methods. Then, all reported methods are defined with respect to this procedure. This allows the reader not only to more easily follow the description of each method but also to see how these methods relate to one another. The coherence of this book also results from the fact that the same notations are used throughout the chapters for the quantities (source signals and so on) that are used in various methods. Finally, among the quite varied types of processing methods that are presented in this book, a significant part of this description is dedicated to methods based on artificial neural networks, especially recurrent ones, which are currently of high interest to the data analysis and machine learning community in general, beyond the more specific signal processing and blind source separation communities.


Availability
Inventory Code Barcode Call Number Location Status
1908001636EB0002242621.382 2 Dev nCentral Library (OPAC)Available
Detail Information
Series Title
SpringerBriefs in Electrical and Computer Engineering
Call Number
621.382 2 Dev n
Publisher
Switzerland : Springer Cham., 2021
Collation
ix, 71p.:Ill
Language
English
ISBN/ISSN
978-3-030-64977-7
Classification
621.382 2
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Blind source separation
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

File Attachment
  • Nonlinear Blind Source Separation and Blind Mixture Identification
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