| Title |
Acitve Noise Control via Walsh Transform Domain Genetic Algorithm |
| Authors |
임국현(Yim, Kook-Hyun) ; 김종부(Kim, Jong-Boo) ; 안두수(Ahn, Doo-Soo) |
| Keywords |
Active Noise Control ; Discrete Walsh Transform ; Genetic Algorithm ; Eigenvalue Ratio ; Learning Algorithm |
| 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. |