Modeling, Estimation and Optimal Filtration in Signal Processing - Rilegato

Najim, Mohamed

Rilegato

ISBN 10: 1848210221 ISBN 13: 9781848210226

Casa editrice: Iste/Hermes Science Pub, 2008

Riassunto

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.

Su questo libro

Recensione:

"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)

 

L'autore:

Mohamed Najim is Professor in Signal Processing at the ENSEIRB and University of Bordeaux I, France, where he leads the Signal and Image Processing group.

Su questa edizione

• Editore: Iste/Hermes Science Pub
• Data di pubblicazione: 2008
• ISBN 10: 1848210221
• ISBN 13: 9781848210226
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 392