Acitve Noise Control via Walsh Transform Domain Genetic Algorithm

월쉬변환영역 유전자 알고리즘에 의한 능동소음제어

  • 임국현 (LG이노텍(주) 연구소) ;
  • 김종부 (인덕대 메카트로닉스과) ;
  • 안두수 (성균관대 전기전자컴퓨터공학부)
  • Published : 2000.11.01

Abstract

This paper presents an active noise control algorithm via Walsh transform domain controller learned by genetic algorithm. Typical active noise control algorithms such as the filtered-x lms algorithm are based on the gradient algorithm. Gradient algorithm have two major problems; local minima and eigenvalue ratio. To solve these problems, we propose a combined algorithm which consist of genetic learning algorithm and discrete Walsh transform called Walsh Transform Domain Genetic Algorithm(WTDGA). Analyses and computer simulations on the effect of Walsh transform to the genetic algorithm are performed. The results show that WTDGA increase convergence speed and reduce steady state errors.

Keywords

References

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