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 …

Emotional intelligence plays an important role in artificial intelligence. The brain circuitry of
emotion mainly includes the prefrontal cortex, the amygdala, hippocampus and et al. Many …

In this brief, an affine projection maximum correntropy criterion with correntropy induced
metric (APMCCCIM) algorithm is proposed for robust sparse adaptive filtering, and it is …

In this brief, an affine-projection-like M-estimate (APLM) algorithm is proposed for robust
adaptive filtering. To eliminate the adverse effects of impulsive noise in case of the impulse …

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 random Fourier filter-based filtered-x least mean square (RF-FxLMS) algorithm has
been proposed for the nonlinear active noise control (NANC) system to reduce 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 …

Active noise control (ANC) systems are widely used to cancel unwanted noise. However, for
high-level noise, the residual error signal cannot be fully eliminated because of the …

This paper provides a detailed overview of active impulsive noise control (AINC) technology
of α-stable distribution noise. The second-order moment of the non-Gaussian impulsive …

In many practical active noise control systems, the nonlinear secondary path (NSP) model
can offer broader applications than the linear secondary path (LSP) model for the …