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 …

This paper presents a novel approach for structure extraction of the cluster sparse system
identification. Different from adopting ℓ 1-norm constraint to regularize the sparsity in the …

Underwater communication (UWC) is widely used in coastal surveillance and early warning
systems. Precise channel estimation is vital for efficient and reliable UWC. The sparse direct …

With the rapid development of pipeline transportation, there are more and more hidden
safety risks behind the rapid development of pipeline transportation. However, the current …

Acoustic feedback cancelers (AFC) employing normalized subband adaptive filtering
(NSAF) in conjunction with proportionate gain allocation strategy (PNSAF) have been …

Abstract System identification based on least mean square (LMS) adaptive filters is effective
due to their simplicity and robustness. Inherent physical characteristic of intended system …

The zero attraction affine projection algorithm (ZA-APA) is one of the sparse APAs that are
based on l_ 1 l 1-norm penalty function. It provides faster convergence and lower steady …

In view of the poor performance of the traditional adaptive filtering algorithm in identifying
sparse systems under impulse noise, an affine projection maximum correntropy criterion …

This study involves a two stage three phase four wire configuration of a grid connected solar
PV system to mitigate various issues related to the power quality at the point of …

This paper presents the implementation of FxLMS algorithm on Field Programmable Gate
Array (FPGA) for active vibration control applications using Macro Fiber Composite (MFC) …