Transforms are an important part of an engineer's toolkit for solving signal processing and
polynomial computation problems. In contrast to the Fourier transform-based approaches …

Seizure detection and classification using signal processing methods has been an important
issue of research for the last two decades. In the present study, a novel scheme was …

This article develops a method to detect and classify power quality problems using a novel
combination of digital filtering, wavelets and artificial neural networks. The method is …

小波包变换(WPT) 建立在小波变换的基础上, 可以实现信号频带的均匀划分,
能够更好地提取信号的时频特性, 具有更好的谐波分析特性. 但是现有的小波包变换算法实现的 …

Voltage events are one of the most severe power quality disturbances in modern power
systems because of their detrimental effect on equipment. The development of new methods …

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 …

A system for the identification of power quality violations is proposed. It is a two-stage system
that employs the potentials of the wavelet transform and the adaptive neurofuzzy networks …

Instantaneous frequency (IF) estimation through the estimation of peak locations in the time-
frequency plane is an important approach for signals contaminated with additive white …

通过精密离心机电机驱动系统和机械系统的故障机理的分析, 提出了两种故障信号基于小波包
分析的特征提取方法. 一个是渐进性故障信号的特征提取方法, 控制器误差信号通过小波包分解 …

A systematic method for analysing power system disturbances in the wavelet domain is
described. Wavelet domain capabilities in detection, classification and measurements of …