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 …

Active noise control (ANC) is a typical signal-processing technique that has recently been
utilized extensively to combat the urban noise problem. Although numerous advanced …

With the exponentially growing amount of information available on the Internet, the task of
retrieving documents of interest has become increasingly difficult. Search engines usually …

Attenuation of vibration and noise constitutes a growing concern in today's human activities.
For more than 45 years, it was realized that passive attenuation of vibration and noise via …

In this paper, a bounded-input bounded-output (BIBO) stability condition for the recursive
functional link artificial neural network (FLANN) filter, based on trigonometric expansions, is …

Selective updating (SU)-based adaptive algorithms are proposed for secondary path
estimation and noise control in active noise control systems. Use of the proposed variable …

In this paper, we propose a finite-impulse-response (FIR)-based feedforward control
approach to mitigate the acoustic-caused probe vibration during atomic force microscope …

Filtered‐x least mean square (FxLMS) algorithm and its variants have been prevalently
applied in the field of active noise control. However, these algorithms still suffer from …

The Kalman filter is an established tool for the analysis of dynamic systems with normally
distributed noise, and it has been successfully applied in numerous areas. It provides …