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 …

In active noise control systems, the performance of the most celebrated filtered-x-least mean
square (FxLMS) adaptive algorithm is degraded in the presence of non-linearity in the …

A two-stage active noise control (ANC) system is proposed for non-stationary environments:
a secondary-path filtering (SPF) stage and a control filtering (CF) stage. The secondary-path …

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 …

The existing methodologies for hybrid narrow-band active noise control (HNANC) systems
utilises variants of the FXLMS algorithm, which typically resulted in degraded convergence …

This work proposes an algorithm for feedback ANC that does not require a prior secondary
path model and usually remains stable after fast secondary path changes, as other …

In most of the existing approaches for neutralizing the effects of acoustic feedback in feed-
forward active noise control (FF-ANC) systems, three adaptive filters have been employed …

Simultaneous perturbation stochastic approximation (SPSA) algorithm, an algorithm without
secondary path modeling, has been applied to active noise control by some researchers …

In the field of active vibration control (AVC), it is difficult to use the classical filtered-x least
mean squares (FxLMS) algorithm to solve the instability problem of active control system …

An adaptive algorithm is proposed on the basis of the filtered-x least mean square (FxLMS)
algorithm for active control of parameter-varying vibration systems. The adaptive algorithm …