Modeling, Estimation and Optimal Filtration in Signal Processing (PDF)
(Sprache: Englisch)
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...
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...
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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.
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.
Autoren-Porträt von Mohamed Najim
Mohamed Najim is Professor in signal processing at theENSEIRB 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.
Bibliographische Angaben
- Autor: Mohamed Najim
- 2010, 1. Auflage, 400 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0470393688
- ISBN-13: 9780470393680
- Erscheinungsdatum: 21.01.2010
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- Größe: 3.76 MB
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Sprache:
Englisch
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