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Modeling, Estimation and Optimal Filtering in Signal Processing
Mohamed Najim
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Description for Modeling, Estimation and Optimal Filtering in Signal Processing
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.
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.
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.
Product Details
Publication date
2008
Publisher
ISTE Ltd and John Wiley & Sons Inc United Kingdom
Number of pages
400
Condition
New
Series
ISTE
Number of Pages
400
Format
Hardback
Place of Publication
London, United Kingdom
ISBN
9781848210226
SKU
V9781848210226
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Mohamed Najim
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.
Reviews for Modeling, Estimation and Optimal Filtering in Signal Processing
"This book provides the reader for the first time with a comprehensive collection of the significant results obtained to date in the field of parametric signal modeling and presents a number of new approaches." (Mathematical Reviews, 2010)