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Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
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.
From the Back Cover
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.
From the Inside Flap
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.
"About this title" may belong to another edition of this title.
- PublisherWiley-ISTE
- Publication date2008
- ISBN 10 1848210221
- ISBN 13 9781848210226
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages400
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Modeling, Estimation and Optimal Filtering in Signal Processing
Published by
ISTE Ltd and John Wiley & Sons Inc, 2008
ISBN 10: 1848210221
ISBN 13: 9781848210226
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Condition: 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. . . . . Seller Inventory # V9781848210226
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Modeling, Estimation and Optimal Filtering in Signal Processing
Published by
ISTE Ltd and John Wiley & Sons Inc, 2008
ISBN 10: 1848210221
ISBN 13: 9781848210226
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Condition: 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. Seller Inventory # V9781848210226
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Modeling, Estimation and Optimal Filtration in Signal Processing
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ISBN 10: 1848210221
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