Modeling, Estimation and Optimal Filtration in Signal Processing Image close
Modeling, Estimation and Optimal Filtration in Signal Processing on Hardback by Mohamed Najim
Modeling, Estimation and Optimal Filtration in Signal Processing on Hardback by Mohamed Najim
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Modeling, Estimation and Optimal Filtration in Signal Processing

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Description

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.

Author Biography:

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.
Release date Australia
June 6th, 2008
Author
Audience
  • Postgraduate, Research & Scholarly
Pages
400
Dimensions
163x241x31
ISBN-13
9781848210226
Product ID
2471606

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