Nonlinear active noise control with tap-decomposed robust volterra filter
The Volterra filter is proven to be a structurally simple method for nonlinear active noise
control (NLANC). However, its wide application is deeply constrained by computational …
control (NLANC). However, its wide application is deeply constrained by computational …
Nonlinear spline adaptive filters based on a low rank approximation
Nonlinear spline adaptive filters are a class of adaptive filters for modelling nonlinear
systems. To improve the convergence performance of existing nonlinear spline adaptive …
systems. To improve the convergence performance of existing nonlinear spline adaptive …
Robust affine projection tanh algorithm and its performance analysis
The affine projection algorithm (APA) suffers from performance degradation when dealing
with non-Gaussian noises. To address this issue, a novel robust affine projection tanh …
with non-Gaussian noises. To address this issue, a novel robust affine projection tanh …
M-estimate affine projection spline adaptive filtering algorithm: Analysis and implementation
This paper investigates the M-estimate affine projection spline adaptive filtering (MAPSAF)
algorithm, which utilizes a modified Huber function with robustness against impulsive …
algorithm, which utilizes a modified Huber function with robustness against impulsive …
Fractional-order ascent maximum mixture correntropy criterion for FLANNs based multi-channel nonlinear active noise control
The filtered-s maximum correntropy criterion (FsMCC) algorithm was developed for
nonlinear active noise control (NANC) in impulsive noise environments with the use of …
nonlinear active noise control (NANC) in impulsive noise environments with the use of …
Review of Advances in Active Impulsive Noise Control with Focus on Adaptive Algorithms
Y Liu, Z Lei - Applied Sciences, 2024 - mdpi.com
Mitigating low-frequency noise in various industrial applications often involves the use of the
filter-x least mean squares (FxLMS) algorithm, which relies on the mean square error …
filter-x least mean squares (FxLMS) algorithm, which relies on the mean square error …
Nonlinear channel estimation based on robust distributed Hammerstein spline adaptive technique in wireless sensor network
In a wireless sensor network (WSN), channel estimation prior to data communication is an
important task. The nonlinear behaviour of the channel makes the estimation procedure …
important task. The nonlinear behaviour of the channel makes the estimation procedure …
Automated weak signal frequency estimation method based on Duffing oscillator and particle swarm optimization
Y Wang, Y Cheng, L Wang, Y Yan… - Measurement Science …, 2022 - iopscience.iop.org
The frequency of a weak signal is used for fault diagnosis and target identification in various
fields. By introducing particle swarm optimization (PSO) and spectral entropy (SE), an …
fields. By introducing particle swarm optimization (PSO) and spectral entropy (SE), an …
Nonlinear spline Versoria prioritization optimization adaptive filter for alpha-stable clutter
W Guo, Y Zhi - IEEE Transactions on Aerospace and Electronic …, 2022 - ieeexplore.ieee.org
The increasing demand for a better quality of service in radar and wireless communications
has attracted research on interference suppression. Nonlinear filtering methods based on …
has attracted research on interference suppression. Nonlinear filtering methods based on …
Nonlinear spline prioritization optimization adaptive filter with arctangent-exponential hyperbolic cosine
W Guo, Y Zhi, K Feng - Nonlinear Dynamics, 2022 - Springer
This paper presents a new spline prioritization optimization adaptive filter with arctangent-
exponential hyperbolic cosine (SPOAF-ARC-EHC) to solve the high steady-state error in …
exponential hyperbolic cosine (SPOAF-ARC-EHC) to solve the high steady-state error in …