Adaptive Signal Processing: IIR Filtering

• Contents
  1. Some common applications of adaptive filters (Chapter 1) .
  2. Adaptive FIR filters: Some algorithms and their limitations (Chapter 2) .
  3. Adaptive IIR filters: Some motivation from system identification theory (Chapter 3) .
  4. Some useful tools: Concepts on approximation and stability theory (Chapter 4) .
  5. Mean Squared output error minimization and related algorithms (Chapter 5) .
  6. The equation error perspective: An IIR extension of the FIR adaptive filter (Chapter 6) .
  7. Hyperstable adaptive filter: an stable but incomplete solution (Chapter 7) .
  8. Steiglitz-McBride Method: the closest approximation to the global minimum (Chapter 8) .
  9. A brief final discussion (Chapter 9) .
  10. References .

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  Here it is possible to download an special toolbox for MATLAB to study ODE convergence of some adaptive IIR filters. ODE_IIR.ZIP .

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• 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.