Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …

Rotating machinery faults can induce characteristic modulation effects in a vibration signal,
and their diagnosis can thus be conducted by extracting fault-induced modulation features …

Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …

Updating the original, Transforms and Applications Handbook, Third Edition solidifies its
place as the complete resource on those mathematical transforms most frequently used by …

Existing deep learning-based computer vision methods usually operate in the spatial and
frequency domains, which are two orthogonal\textbf {individual} perspectives for image …

We provide an open access dataset of High densitY Surface Electromyogram (HD-sEMG)
Recordings (named “Hyser”), a toolbox for neural interface research, and benchmark results …

In the case of COVID-19, which requires stable and reliable tracking of personnel
movement, aircraft identification by specific emitter identification (SEI) is a hot-button issue. It …

The fractional Fourier transform (FRFT) is a potent tool to analyze the chirp signal. However,
it fails in locating the fractional Fourier domain (FRFD)-frequency contents which is required …

Nuclear power generation is an essential part of the electrical supply in the United States,
and it is an effective way to achieve low carbon power generation. Nuclear power …

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 …