The goal of an automatic monitoring system of partial discharges (PDs), based on acoustic
emission (AE) detection, is the identification of the type of source of PD and its localization …

It has been challenging to correctly separate the mixed signals into source components
when the source number is not known a priori. In this paper, we propose a novel source …

Partial discharges (PD) detection is a widely extended technique for the diagnosis of
electrical equipment. Ultra-high frequency (UHF) detection techniques appear as the best …

The measurement of the emitted electromagnetic energy in the UHF region of the spectrum
allows the detection of partial discharges and, thus, the on-line monitoring of the condition of …

The present study addresses benefits of a linear optimal filter (OF) for independent
component analysis (ICA) in extracting brain event-related potentials (ERPs). A filter such as …

Independent vector analysis (IVA), an extension of independent component analysis (ICA)
from univariate components to multivariate components, is a method to tackle blind source …

The conventional blind source separation independent component analysis method has the
problem of low-separation performance. In addition, the basic butterfly optimization …

A novel blind channel estimation algorithm, based on fourth-order cumulant matrices, is
proposed and applied to linear Space–Time Block Coded (STBC) for Multiple Input Multiple …

Aiming at finding the major vibration and noise sources of vehicles, a quantitative estimation
method for source contribution using the kurtosis-based constrained independent …

The dithered signed-error constant modulus algorithm (DSE-CMA) is an approach less
computationally than CMA but exhibits ill-convergence. On the contrary, the concurrent CMA …