FIR filter parameter estimation using the genetic algorithm

유전자 알고리듬을 이용한 FIR 필터의 파라미터 추정

  • 손준혁 (경북대학교 대학원 전기공학과) ;
  • 서보혁 (경북대학교 전자전기공학과)
  • Published : 2005.10.28

Abstract

Recently genetic algorithm techniques have widely used in adaptive and control schemes for production systems. However, generally it costs a lot of time for learning in the case applied in control system. Furthermore, the physical meaning of genetic algorithm constructed as a result is not obvious. And this method has been used as a learning algorithm to estimate the parameter of a genetic algorithm used for identification of the process dynamics of FIR filter and it was shown that this method offered superior capability over the genetic algorithm. A genetic algorithm is used to solve the parameter identification problem for linear and nonlinear digital filters. This paper goal estimate FIR filter parameter using the genetic algorithm.