Arctangent function-based normalized least mean squares algorithm for a battery supported wind energy conversion system
Wind energy conversion systems (WECSs) based on doubly fed induction generator (DFIG)
are often connected to local loads, and excess power is supplied to the grid. The nonlinear …
are often connected to local loads, and excess power is supplied to the grid. The nonlinear …
NLMS algorithm based on a variable parameter cost function robust against impulsive interferences
The conventional step-size scaler (SSS) normalized least-mean-square algorithm is robust
against impulsive noise. However, the constant parameter in the SSS needs to be controlled …
against impulsive noise. However, the constant parameter in the SSS needs to be controlled …
Optimal design of NLMS algorithm with a variable scaler against impulsive interference
FY Wu, YC Song - Signal, Image and Video Processing, 2023 - Springer
This study proposes a scaler for the normalized least-mean-square algorithm, which is
derived based on a cost function designed to retain robustness to a sudden change. A novel …
derived based on a cost function designed to retain robustness to a sudden change. A novel …
A scaled LMS algorithm for sparse system identification with impulsive interference
FY Wu, YC Song, R Peng - Circuits, Systems, and Signal Processing, 2023 - Springer
A new LMS algorithm is proposed to improve the accuracy of the sparse system
identification with impulse interference. The algorithm adopts a scaler to filter impulse …
identification with impulse interference. The algorithm adopts a scaler to filter impulse …
Laguerre Kernel Adaptive Filter With Arctangent Criterion For Nonlinear System Identification
Kernel adaptive filters (KAF) have emerged as a prominent method for nonlinear system
identification (NSI). However, the KAF becomes computationally intensive as the input signal …
identification (NSI). However, the KAF becomes computationally intensive as the input signal …
[HTML][HTML] Adaptive fuzzy integrated LMS based control strategy for voltage power quality enhancement
In this paper, an adaptive Takagi Sugeno (TS) Fuzzy integrated Mixed Order Normalized
Least Mean Square/Fourth Algorithm (MONLMS/F) is proposed for the unresolved voltage …
Least Mean Square/Fourth Algorithm (MONLMS/F) is proposed for the unresolved voltage …
Maximum Versoria Criterion Algorithm with Adaptive Radius in Active Impulse Noise Control
N Peng, C Li, L Yu, P Yu, T Yao - Electronics, 2022 - mdpi.com
The conventional algorithm used in active noise control (ANC) performs poorly under non-
Gaussian (impulse) noise. This is because the stability of a conventional adaptive controller …
Gaussian (impulse) noise. This is because the stability of a conventional adaptive controller …
Robust adaptive filtering algorithm for self-interference cancellation with impulsive noise
J Lu, Q Zhang, W Shi, L Zhang, J Shi - Electronics, 2021 - mdpi.com
Self-interference (SI) is usually generated by the simultaneous transmission and reception in
the same system, and the variable SI channel and impulsive noise make it difficult to …
the same system, and the variable SI channel and impulsive noise make it difficult to …
Bias-compensated normalized least mean absolute deviation algorithm with noisy input
A bias-compensated normalized least mean absolute deviation (NLMAD) algorithm is
developed for system identification under impulsive output measurement noise and noisy …
developed for system identification under impulsive output measurement noise and noisy …
An Adaptive Variable LMS Technique for Enhanced Power Quality in Solar PV Grid-tied System
Solar photovoltaic (PV) technology becomes an attractive alternative to bridge the energy
gap between supply and demand. A major challenge ahead of PV power utilization is the …
gap between supply and demand. A major challenge ahead of PV power utilization is the …