Active noise control (ANC) is an effective way for reducing the noise level in electroacoustic
or electromechanical systems. Since its first introduction in 1936, this approach has been …

The problem of acoustic noise is becoming increasingly serious with the growing use of
industrial and medical equipment, appliances, and consumer electronics. Active noise …

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 …

Active control of sound and vibration is a relatively new and fast growing field of research
and application. The numbers of papers published on the subject have been more than …

This paper discusses the evolution of active noise control systems over the past 75 years.
The focus of this study is on the use of signal processing and some recent soft computing …

As a robust nonlinear similarity measure, the maximum correntropy criterion (MCC) has
been successfully applied to active noise control (ANC) for impulsive noise. The default …

The filtered-x least mean square (FXLMS) algorithm is widely used for active noise control
(ANC) systems. However, due to the fixed step-size of FXLMS algorithm being used, the …

The active noise control (ANC) based on the principle of superposition is an attractive
method to attenuate the noise signals. However, the impulsive noise in the ANC systems will …

The performance of a nonlinear active noise control (ANC) system based on the recently
developed filtered-s least mean square (FsLMS) algorithm deteriorates when strong …

The standard adaptive filtering algorithm with a single error norm exhibits slow convergence
rate and poor noise reduction performance under specific environments. To overcome this …