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Inhaltsangabe
The purpose of this book is to provide graduate students and practitioners with traditional methods and more recent results for model-based approaches in signal processing.
Firstly, discrete-time linear models such as AR, MA and ARMA models, their properties and their limitations are introduced. In addition, sinusoidal models are addressed.
Secondly, estimation approaches based on least squares methods and instrumental variable techniques are presented.
Finally, the book deals with optimal filters, i.e. Wiener and Kalman filtering, and adaptive filters such as the RLS, the LMS and their variants.
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Über die Autorin bzw. den Autor
Mohamed Najim is Professor in signal processing at the ENSEIRB and Université Bordeaux I (France), where he leads the Signal and Image Processing group.
An IEEE Fellow, he has worked in adaptive control and in the field of 1D and n-D identification in signal and image processing.
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The purpose of this book is to provide graduate students and practitioners with traditional methods and more recent results for model-based approaches in signal processing.
Firstly, discrete-time linear models such as AR, MA and ARMA models, their properties and their limitations are introduced. In addition, sinusoidal models are addressed.
Secondly, estimation approaches based on least squares methods and instrumental variable techniques are presented.
Finally, the book deals with optimal filters, i.e. Wiener and Kalman filtering, and adaptive filters such as the RLS, the LMS and their variants.
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Modeling, Estimation and Optimal Filtering in Signal Processing
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Zustand: Gut. Zustand: Gut | Seiten: 400 | Sprache: Englisch | Produktart: Bücher. Artikel-Nr. 5332114/3
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Modeling, Estimation and Optimal Filtration in Signal Processing
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Gebunden. Zustand: New. The purpose of this book is to provide graduate students and practitioners with traditional methods and more recent results for model-based approaches in signal processing. Firstly, discrete-time linear models such as AR, MA and ARMA models, their propertie. Artikel-Nr. 597090948
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Modeling, Estimation and Optimal Filtering in Signal Processing
Verlag:
ISTE Ltd and John Wiley & Sons Inc, 2008
ISBN 10: 1848210221
ISBN 13: 9781848210226
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Zustand: New. The purpose of this book is to provide graduate students and practitioners with traditional methods and more recent results for model-based approaches in signal processing. Firstly, discrete-time linear models such as AR, MA and ARMA models, their properties and their limitations are introduced. In addition, sinusoidal models are addressed. Series: ISTE. Num Pages: 400 pages, Illustrations. BIC Classification: UYS. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 236 x 157 x 28. Weight in Grams: 742. . 2008. . . . . Books ship from the US and Ireland. Artikel-Nr. V9781848210226
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Modeling, Estimation and Optimal Filtering in Signal Processing
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Buch. Zustand: Neu. Neuware - The purpose of this book is to provide graduate students and practitioners with traditional methods and more recent results for model-based approaches in signal processing. Firstly, discrete-time linear models such as AR, MA and ARMA models, their properties and their limitations are introduced. In addition, sinusoidal models are addressed. Secondly, estimation approaches based on least squares methods and instrumental variable techniques are presented. Finally, the book deals with optimal filters, i.e. Wiener and Kalman filtering, and adaptive filters such as the RLS, the LMS and their variants. Artikel-Nr. 9781848210226
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