A survey on active noise control in the past decade—Part I: Linear systems
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 …
or electromechanical systems. Since its first introduction in 1936, this approach has been …
Filtered-x least mean square/fourth (FXLMS/F) algorithm for active noise control
P Song, H Zhao - Mechanical Systems and Signal Processing, 2019 - Elsevier
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 …
(ANC) systems. However, due to the fixed step-size of FXLMS algorithm being used, the …
Filtered-x generalized mixed norm (FXGMN) algorithm for active noise control
P Song, H Zhao - Mechanical Systems and Signal Processing, 2018 - Elsevier
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 …
rate and poor noise reduction performance under specific environments. To overcome this …
An augmented complex-valued least-mean kurtosis algorithm for the filtering of noncircular signals
In this paper, a novel augmented complex-valued least-mean kurtosis (ACLMK) algorithm is
proposed for processing complex-valued signals. The negated kurtosis of the complex …
proposed for processing complex-valued signals. The negated kurtosis of the complex …
New FxLMAT-based algorithms for active control of impulsive noise
In the presence of non-Gaussian impulsive noise (IN) with a heavy tail, active noise control
(ANC) algorithms often encounter stability problems. While adaptive filters based on the …
(ANC) algorithms often encounter stability problems. While adaptive filters based on the …
Robust Cauchy kernel conjugate gradient algorithm for non-Gaussian noises
L Qi, M Shen, D Wang, S Wang - IEEE Signal Processing …, 2021 - ieeexplore.ieee.org
The Cauchy loss (CL) is a high-order loss function which has been successfully used to
overcome large outliers in kernel adaptive filters. The squared error in the CL is then …
overcome large outliers in kernel adaptive filters. The squared error in the CL is then …
Particle swarm optimization based novel adaptive step-size FxLMS algorithm with reference signal smoothing processor for feedforward active noise control systems
H Meng, S Chen - Applied Acoustics, 2021 - Elsevier
The unimproved filtered-x least mean square (FxLMS) algorithm is not enough to guarantee
the convergence rate and stability when outliers appear in the reference signal X n. To make …
the convergence rate and stability when outliers appear in the reference signal X n. To make …
Diffusion least mean kurtosis algorithm and its performance analysis
Adaptive filtering algorithms developed by using the negated kurtosis of the error signal as
cost function can obtain good performance in some types of sub-Gaussian noise …
cost function can obtain good performance in some types of sub-Gaussian noise …
Developing a new filtered-X recursive least squares adaptive algorithm based on a robust objective function for impulsive active noise control systems
MT Akhtar - Applied Sciences, 2023 - mdpi.com
It is well-known that performance of the classical algorithms for active noise control (ANC)
systems severely degrades when implemented for controlling the impulsive sources. The …
systems severely degrades when implemented for controlling the impulsive sources. The …
A novel least-mean kurtosis adaptive filtering algorithm based on geometric algebra
R Wang, Y He, C Huang, X Wang, W Cao - IEEE access, 2019 - ieeexplore.ieee.org
A novel least-mean kurtosis adaptive filtering algorithm based on geometric algebra (GA-
LMK) is proposed for multidimensional signal processing. First, taking advantage of …
LMK) is proposed for multidimensional signal processing. First, taking advantage of …