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Blind Identification and Separation of Complex-valued Signals

Blind identification consists of estimating a multi-dimensional system only through the use of its output, and source separation, the blind estimation of the inverse of the system. Estimation is generally carried out using different statistics of the output. The authors of this book consider the bli...

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Bibliographic Details
Main Authors: Moreau, Eric.
Group Author: Adali, Tülay.
Published:
Literature type: Electronic eBook
Language: English
Series: FOCUS Series
Subjects:
Signal processing > Statistical methods.
Source separation (Signal processing)
MIMO systems.
Signal processing.
TECHNOLOGY & ENGINEERING > Mechanical.
Electronic books.
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9781118579749
Summary: Blind identification consists of estimating a multi-dimensional system only through the use of its output, and source separation, the blind estimation of the inverse of the system. Estimation is generally carried out using different statistics of the output. The authors of this book consider the blind identification and source separation problem in the complex-domain, where the available statistical properties are richer and include non-circularity of the sources - underlying components. They define identifiability conditions and present state-of-the-art algorithms that are based on algebraic methods as well as iterative algorithms based on maximum likelihood theory.
Carrier Form: 1 online resource (xi, 94 pages) : illustrations.
Bibliography: Includes bibliographical references (pages 83-92) and index.
ISBN: 9781118579749
1118579747
9781118579732
1118579739
Index Number: TK7871
CLC: TN911.7
Contents: Front Matter -- Mathematical Preliminaries / Eric Moreau, Tülay Adali -- Estimation by Joint Diagonalization / Eric Moreau, Tülay Adali -- Maximum Likelihood ICA / Eric Moreau, Tülay Adali -- Bibliography -- Index.

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