This paper presents a tutorial review of recent advances in the field of time–frequency (t, f)
signal processing with focus on exploiting (t, f) image feature information using pattern …

The modern battlefield is getting more complicated due to the increasing number of different
radiation sources as well as their fierce contention (interference) and confrontations …

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

This paper presents a novel design of a time–frequency (t–f) matched filter as a solution to
the problem of detecting a non-stationary signal in the presence of additive noise, for …

This article presents a methodical approach for improving quadratic time-frequency
distribution (QTFD) methods by designing adapted time-frequency (TF) kernels for diagnosis …

Essential tremor (ET) is one of the most common movement disorders, and patients with ET
have more than a fourfold increased risk of developing Parkinson's disease (PD). Currently …

The detection of deceptive jamming in low probability of intercept/low probability of detection
(LPI/LPD) tactical communications has been receiving increasing attention, especially in the …

Cardiovascular Disease (CVD) is a primary cause of heart problems such as angina and
myocardial ischemia. The detection of the stage of CVD is vital for the prevention of medical …

The purpose of this study was to assess validity, stability and sensitivity, of 4 spectral
parameters–median frequency (Fmed), mean frequency (Fmean), Dimitrov index (DI), and …

The classical time-frequency analysis method is not the optimal signal representation
method for LFM signal, fractional Fourier transform (FRFT) can represent signal from any …