The increasing trends toward the accurate identification of power quality disturbances (PQD)
via power quality (PQ) monitoring require an appropriate digital signal processing (DSP) …

Among various spectral analysis tools arisen in the last years, some were more prominent,
such as Fourier transform, windowed Fourier transform and wavelet transform (WT) …

The proposed work aims at the accurate detection and classification of various single and
multiple power quality (PQ) disturbances. To this end, a modified optimal fast discrete …

This paper presents a new module for heart sounds segmentation based on S-transform.
The heart sounds segmentation process segments the PhonoCardioGram (PCG) signal into …

An adaptive time-frequency representation (TFR) with higher energy concentration usually
requires higher complexity. Recently, a low-complexity adaptive short-time Fourier transform …

It is important to find an effective method for power quality (PQ) disturbance recognition
under the challenges of increasing power system pollution. This paper proposes a PQ …

The S transform (ST) is one of the most commonly used time-frequency (TF) analysis
algorithms and is commonly used in assisting reservoir characterization and hydrocarbon …

The Stockwell transform (ST), which is a reversible method of time-frequency spectral
representation, is an extension of the ideas of the wavelet transform (WT) and short-time …

The use of radar technology in the field of human activity recognition (HAR) has garnered
considerable interest due to its notable benefits in terms of accuracy, resilience, and …

The Stockwell transform (ST), which is an invertible time-frequency spectral localization
technique, uniquely combines elements of wavelet transform and short-time Fourier …