In this paper we present an optimal wavelet packet (OWP) method based on Davies-Bouldin
criterion for the classification of surface electromyographic signals. To reduce the feature …

Variable numerous types of equipment/subsystems may exist in complex systems, which
makes it difficult to analyze and identify electromagnetic emission sources. A theory named …

In this paper, we present a new approach to evaluation of signal integrity that is based on
signal energy density as a function of time and frequency, represented by its wavelet …

In this paper, we present automatic classification models for ultrasonic flaw signals acquired
from carbon-fiber-reinforced polymer specimens. Different state-of-the-art strategies based …

It has been demonstrated that modulating the switching frequency of a power converter is a
valuable way for reducing the electromagnetic interference (EMI) due to the switching …

Structure damage detection is of great significance for structure maintenance, repair and
rehabilitation soon after damage occurs. Data driven approaches to structure damage …

We demonstrate a disturbance event recognition method based on region segmentation,
which utilizes differential phase signals of a phase-sensitive optical time-domain …

Featured Application In the area of electromagnetic compatibility (EMC), it is necessary to
locate the source of interference according to the exceeded radiation emission in EMC …

Electromagnetic Spectrum (EMS) recognition is vital in spectrum control, interference
location, electronic countermeasures, etc. However, samples of high-value targets are …

在模式识别或分类中, 从原始模式中提取有效的分类特征是非常重要的. 但对于大量的非**稳或
时变信号模式来说, 如语音, 雷达, 地震信号等, 用于分类的特征往往包含在局部的时-频信息中 …