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

Part I of this paper reviewed the development of the linear active noise control (ANC)
technique in the past decade. However, ANC systems might have to deal with some …

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 …

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

This paper proposes a functional-link-artificial-neural-network-based (FLANN) multichannel
nonlinear active noise control (ANC) system trained using a particle swarm optimization …

This paper presents a cuckoo search algorithm (CSA) based adaptive infinite impulse
response (IIR) system identification scheme. The proposed scheme prevents the local …

This paper proposes a nonlinear active noise control (ANC) system based on convex
combination of a functional link artificial neural network (FLANN) and a Volterra filter …

Since the functional link artificial neural network (FLANN) filter using trigonometric
expansions do not exploit cross-terms (products of input samples and/or past output …

A method relying on the convex combination of two normalized filtered-s least mean square
algorithms (CNFSLMS) is presented for nonlinear active noise control (ANC) systems with a …