Time–frequency analysis (TFA) is widely used to describe local time–frequency (TF) features
of seismic data. Among the commonly used TFA tools, sparse TFA (STFA) is an excellent …

This work presents a literature review of the fractional Fourier transform (FrFT) investigations
and applications in the biomedical field. The FrFT is a time-frequency analysis tool that has …

Abstract The Short-Time Fourier Transform (STFT) is widely used to convert signals from the
time domain into a time–frequency representation. This representation has well-known …

Accurate extraction of weak feature information in strong background noise is a key to detect
and identify rolling bearing faults. Stochastic resonance (SR) and vibrational resonance …

Time-frequency (TF) transforms are commonly used to analyze local features of
nonstationary seismic data and to help uncover structural or geologic information …

This paper proposes a new performance evaluation process for time-frequency distributions
(TFD) by designing a reference optimal TFD and novel accuracy and resolution measures …

The bilinear based method is one of the commonly used tools in time-frequency analysis
(TFA) fields. However, it suffers from the trade-off of high resolution and cross-term …

This paper addresses the problem of estimating the parameters of adaptive directional time–
frequency distributions (ADTFDs). ADTFDs locally optimize the direction of the smoothing …

The instantaneous frequency has been frequently employed as a feature for the detection of
the oscillatory type of seizures in electroencephalogram signals. However, seizures …

The electrocardiogram (ECG) has significant clinical importance for analyzing most
cardiovascular diseases. ECGs beat morphologies, beat durations, and amplitudes vary …