Mohsen Rakhshan - Shiraz University of Technology
Shapour Khorshidi - Malek Ashtar University
Ehsan Moula - Shiraz University
Faridoon Shabani-nia - Shiraz University

Active Noise Control is based on the principle of superposition of the waves. It means that an algorithm is used to tune a secondary source to make an anti-noise with equal amplitude but opposite phase with primary source. In this paper, a Wavenet approach is designed for Active Noise Control (ANC). This algorithm is used to train parameters of an anti-noise filter for omitting the undesired noise during the secondary source. FXLMS and NLMS are the conventional methods of ANC that need complex acoustic plant models and these necessities makes the methods complex and inaccurate. In Wavenet approach, this complexity can be regarded. Numerical simulations for a Wavenet approach are looked into to check the performance of the Wavenet approach scheme

Active noise control, ANC, FXLMS, Wavenet