Active noise control (ANC) is gaining ever-increasing attention owing to its powerful ability to
attenuate low-frequency noise. The computational complexity of an ANC system may directly …

Narrowband active noise control (NANC) systems can effectively eliminate periodic
disturbances at its error sensors, but sometimes the error sensors are inconvenient to be …

The choice of a suitable convergence step that allows the fast convergence of the filtered-x
LMS algorithm in practical scenarios is usually carried out by trial and error, since the …

In this paper, the experimental results on microphone virtualization in realistic automotive
scenarios are presented. A Temporal Convolutional Network (TCN) was designed in order …

The affine projection (AP) algorithm enhances the performance of gradient-based adaptive
algorithms when dealing with colored reference signals, which is typically the case with …

This paper addresses the selection of the collaboration configuration on distributed active
noise control (ANC) systems. ANC systems aim to cancel out acoustic noise within a …

Recently, distributed active noise control (DANC) algorithms have been explored as a way
to reduce computational complexity while ensuring system stability, thereby outperforming …

Active control of noise transmitted through structures has been gaining a significant interest.
The authors have developed an idea of active casings reducing noise generated by devices …

A novel deep learning approach for Active Audio Cancellation (AAC) is presented, which
surpasses traditional Active Noise Cancellation (ANC) by effectively canceling any audio …

Active noise control systems performance depend strongly on actuators and their spatial
arrangement. For active noise barriers which vibrations are controlled, actuators are usually …