Wavelet transform (WT) is one of the most useful digital signal processing tools for time-
frequency analysis of power quality disturbances in power systems. This paper presents an …

Recently, radar-based human activity recognition (HAR) has attracted the attention of
researchers as it has been proven that a deep learning (DL) model can be automatically …

Wavelet-based techniques are strongly recommended as a good alternative for the fast
detection and characterization of voltage sags. However, the accuracy and effectiveness of …

Flicker is one of the major power quality event. The effect of flicker disturbance has been
seen in the power distribution networks nowadays. Voltage variations so called flicker …

This paper presents a novel approach to estimate modal parameters of power systems for
monitoring and analyzing the embedded modes of small signal oscillations. The proposed …

This paper presents an adaptive harmonic current extraction scheme using notch filters
combined with a modified discrete wavelet-packet transform (DWPT). The scheme is applied …

Knock threshold detection is the key of closed loop control of ignition in gasoline engine,
and it is also the difficult point in knock measurement. In this paper, an investigation of knock …

Mobile users' online traffic records are a type of data that are closely related to human
activities. To explore the differences in lifestyles of Internet users, online records of base …

Wavelet transform is, at present, one of the most useful digital signal processing tools for
time-frequency analysis of power quality disturbances in power systems. This paper …

Wavelet analysis is a powerful mathematical tool commonly used in signal processing
applications, such as image analysis, image compression, image edge detection, and …