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.

"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)

• Chapter 1. Introduction to Parametric Models. Chapter 2. Least-Squares Estimation of Linear Model Parameters. Chapter 3. Matched Filters and Wiener Filters. Chapter 4. Adaptive Filters. Chapter 5. Kalman Filters. Chapter 6. Kalman Filtering for Speech Enhancement. Chapter 7.  Instrumental Variable Techniques. Chapter 8.  H Infinity Techniques: An Alternative to Kalman filters? Chapter 9.  Introduction to Particle Filtering. Appendix.

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.

"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)

• Chapter 1. Introduction to Parametric Models. Chapter 2. Least-Squares Estimation of Linear Model Parameters. Chapter 3. Matched Filters and Wiener Filters. Chapter 4. Adaptive Filters. Chapter 5. Kalman Filters. Chapter 6. Kalman Filtering for Speech Enhancement. Chapter 7.  Instrumental Variable Techniques. Chapter 8.  H Infinity Techniques: An Alternative to Kalman filters? Chapter 9.  Introduction to Particle Filtering. Appendix.