Abstract Software Defined Networking provides new functionalities to easily manage,
configure, and optimize network resources by introducing a clear separation between the …

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 …

Identification of EEG signals is currently an open problem where performance analysis in
terms of accuracy is relevant in several fields, such as biomedicine and brain computer …

In practical applications of passive sonar principles for extracting characteristic frequencies
of acoustic signals, scientists typically employ traditional time-frequency domain …

The short-time Fourier transform (STFT) is extensively used to convert signals from the time-
domain into the time–frequency domain. However, the standard STFT has the drawback of …

Axial-torsional coupled percussive drilling is a novel technology to enhance the rate of
penetration (ROP), which takes advantage of both axial and torsional percussive drilling …

A new spectrum representation method based on short time Fourier transform (STFT) is
proposed. The formula of new spectrum representation is derived base on energy cumulant …

Pronunciation feedback is essential for teaching languages to children, urging the need to
create computer-assisted pronunciation training (CAPT) systems to automate this process …

To cope with the complex electromagnetic environment and varied signal styles, a novel
method based on the energy cumulant of short time Fourier transform and reinforced deep …

The non-invasive electrocardiogram (ECG) signals are useful in heart condition assessment
and are found helpful in diagnosing cardiac diseases. However, traditional ways, ie, a …