Modeling, Estimation and Optimal Filtering in Signal Processing
Mohamed Najim
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.
Categorie:
Anno:
2008
Edizione:
1
Casa editrice:
Wiley-ISTE
Lingua:
english
Pagine:
408
ISBN 10:
1848210221
Collana:
Digital Signal and Image Processing Series
File:
PDF, 3.33 MB
IPFS:
,
english, 2008
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