Pilots' brain fatigue status recognition faces two important issues. They are how to extract
brain cognitive features and how to identify these fatigue characteristics. In this article, a …

Objective. To develop an automated system to classify the severity of hypoxic-ischaemic
encephalopathy injury (HIE) in neonates from the background electroencephalogram (EEG) …

The presence of blanket jamming, a typical form of airborne synthetic aperture radar (SAR)
jamming, causes incoherent signals with strong power to enter the airborne SAR receiver …

This book is a result of more than twenty years of research and education in the area of time-
frequency signal analysis and signal theory, in general. The book presents time-frequency …

Algorithms for computing time–frequency distributions (TFDs) limit computation time by
reducing numerical operations. But these fast algorithms do not reduce the memory load …

Motor current signature analysis (MCSA) is a fault diagnosis method for induction machines
(IMs) that has attracted wide industrial interest in recent years. It is based on the detection of …

Time-frequency representations of nonstationary signals have a wide range of geophysical
applications, including seismics, seismology, volcanology, and astrophysics. In this article …

The use of renewable power generation brings new challenges related to power quality
issues. Furthermore, with the changing power system nature due to the presence of new …

The discrete time–frequency matched filter should replicate the continuous time–frequency
matched filter, but the methods differ. To avoid aliasing, the discrete method transforms the …

Nonlinear and/or nonstationary properties have been observed in measurements coming
from microgrids in modern power systems and biological systems. Generally, signals from …