An exhaustive review of adaptive signal processing schemes which are robust, sparsity-
aware and robust as well as sparsity-aware has been carried out in this paper. Conventional …

Although construction noise pollution has always been a severe issue for governments in
metropolitan cities, there is no effective and practical solution to control it. Due to the high …

Traditional active noise control (ANC) methods are based on adaptive signal processing
with the least mean square algorithm as the foundation. They are linear systems and do not …

Practical active noise control (ANC) systems, like the active noise cancellation headphone,
usually adopt a control filter with preset coefficients to achieve satisfactory noise reduction …

Sound field control (SFC) technology enables the active management of audio delivered
within an acoustical environment. It includes three research directions: sound field …

The selective fixed-filter active noise control (SFANC) method selecting the best pre-trained
control filters for various types of noise can achieve a fast response time. However, it may …

Traditional multi-channel active noise control (MCANC) is based on adaptive filtering and
usually uses a separate control unit for each channel. This paper introduces a deep learning …

Active noise cancellation (ANC) is an efficient and effective method for suppressing low
frequency disturbances generated by tyre–road interaction in a vehicle. There are significant …

Conventional real-time active noise control (ANC) usually employs the adaptive filtered-x
least mean square (FxLMS) algorithm to approach optimum coefficients for the control filter …

The filtered-x least-mean-square (FxLMS) algorithm has been widely used for the active
noise control. A fundamental analysis of the convergence behavior of the FxLMS algorithm …