A Comparative Study of Natural Algorithms for Adaptive IIR Filtering

نویسندگان

  • Michael S. White
  • Stuart J. Flockton
چکیده

A comparison of the performance of three diierent Natural Algorithms applied to the task of IIR system identiication is presented. In all cases, stability of the adaptive lter is guaranteed through the choice of a lattice lter structure and appropriate coding of the lattice lter reeection coeecient space. We show that whilst simulated annealing-based adaptive algorithms perform well, algorithms based on evolutionary processes can be expected to produce comparable results.

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تاریخ انتشار 2007