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Synopsis
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...
About the Author
Eric Moreau is Professor, University of Sud Toulon Var, France.
Ms. Tulay Adali is Professor at University of Maryland, Baltimore County, USA.
"About this title" may belong to another edition of this title.
- PublisherWiley-ISTE
- Publication date2013
- ISBN 10 1848214596
- ISBN 13 9781848214590
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages112
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Blind Identification and Separation of Complex-valued Signals
Published by
ISTE Ltd and John Wiley and Sons Inc, 2013
ISBN 10: 1848214596
ISBN 13: 9781848214590
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Blind Identification and Separation of Complex-valued Signals (Focus (Wiley))
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Blind Identification and Separation of Complex-valued Signals
Published by
ISTE Ltd and John Wiley & Sons Inc, 2013
ISBN 10: 1848214596
ISBN 13: 9781848214590
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Blind Identification and Separation of Complex-valued Signals (Hardcover)
Published by
ISTE Ltd and John Wiley & Sons Inc, London, 2013
ISBN 10: 1848214596
ISBN 13: 9781848214590
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Hardcover. Condition: new. Hardcover. 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. Contents 1. Mathematical Preliminaries. 2. Estimation by Joint Diagonalization. 3. Maximum Likelihood ICA. About the Authors Eric Moreau is Professor of Electrical Engineering at the University of Toulon, France. His research interests concern statistical signal processing, high order statistics and matrix/tensor decompositions with applications to data analysis, telecommunications and radar. Tuelay Adali is Professor of Electrical Engineering and Director of the Machine Learning for Signal Processing Laboratory at the University of Maryland, Baltimore County, USA. Her research interests concern statistical and adaptive signal processing, with an emphasis on nonlinear and complex-valued signal processing, and applications in biomedical data analysis and communications. Blind identification consists of estimating a multidimensional system through the use of only its output. Source separation is concerned with the blind estimation of the inverse of the system. The estimation is generally performed by using different statistics of the outputs. The authors consider the blind estimation of a multiple input/multiple output (MIMO) system that mixes a number of underlying signals of interest called sources. They also consider the case of direct estimation of the inverse system for the purpose of source separation. They then describe the estimation theory associated with the identifiability conditions and dedicated algebraic algorithms. The algorithms depend critically on (statistical and/or time frequency) properties of complex sources that will be precisely described. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781848214590
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Blind Identification and Separation of Complex valued Signals
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Blind Identification and Separation of Complex-Valued Signals
Published by
ISTE Ltd and John Wiley & Sons Inc, 2013
ISBN 10: 1848214596
ISBN 13: 9781848214590
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Condition: New. 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. Num Pages: 106 pages, illustrations. BIC Classification: TJK; UYS. Category: (P) Professional & Vocational. Dimension: 240 x 156 x 16. Weight in Grams: 346. . 2013. 1st Edition. Hardcover. . . . . Seller Inventory # V9781848214590
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