Modeling, Estimation and Optimal Filtration in Signal Processing - Rilegato

Najim, Mohamed

 
9781848210226: Modeling, Estimation and Optimal Filtration in Signal Processing
Rilegato
ISBN 10: 1848210221 ISBN 13: 9781848210226
Casa editrice: Iste/Hermes Science Pub, 2008

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

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.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Iste/Hermes Science Pub
Data di pubblicazione
2008
Lingua
Inglese
ISBN 10 
1848210221
ISBN 13 
9781848210226
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
392
Contatto del produttore
non disponibile
Persona responsabile
non disponibile