Electronic Resource

Nonlinear Blind Source Separation and Blind Mixture Identification

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001636	EB0002242	621.382 2 Dev n	Central 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

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