- Contents
- Some common applications of adaptive filters (Chapter 1) .
- Adaptive FIR filters: Some algorithms and their limitations (Chapter 2) .
- Adaptive IIR filters: Some motivation from system identification theory (Chapter 3) .
- Some useful tools: Concepts on approximation and stability theory (Chapter 4) .
- Mean Squared output error minimization and related algorithms (Chapter 5) .
- The equation error perspective: An IIR extension of the FIR adaptive filter (Chapter 6) .
- Hyperstable adaptive filter: an stable but incomplete solution (Chapter 7) .
- Steiglitz-McBride Method: the closest approximation to the global minimum (Chapter 8) .
- A brief final discussion (Chapter 9) .
- References .
Here it is possible to download an special toolbox for MATLAB to study ODE convergence of some adaptive IIR filters. ODE_IIR.ZIP .
- Bibliography
- J.R. Treichler, C.R. Johnson Jr., M.G. Larimore, Theory and Design of Adaptive Filters, Wiley, 1987.
- Ph. Regalia, Adaptive IIR Filtering in Signal Processing and Control, Marcel Dekker, 1994.
- L. Ljung, T. Soderstrom, Theory and Practice of Recursive System Identification, MIT Press, 1983.