An Efficient Active Noise Control System with Online Secondary Path Estimation for Snoring Reduction

This paper presents a new active noise control (ANC) technique with online secondary path estimation and sub-band adaptive filtering (SAF) for snoring reduction. In particular, the combination with the SAF structure allows to obtain a better estimation of the primary path and also has an impact on the algorithm performance, especially in terms of convergence rate. Although the SAF technique is applied only in the primary path estimation, it improves also the performance of the secondary path estimation guaranteeing a better convergence rate. The proposed algorithm has been first validated using white noise and then tested considering snoring signals. The experimental results have confirmed its effectiveness in comparison with the state of the art.