摘要
文章介绍了小波变换的多分辨分析理论及其在电力信号特征提取和消噪方面的应用。通过对仿真结果分析可知,小波分解得到的高频系数能够清晰地反映信号中的细节特征,通过对高频分量的处理和重构可以得到信号中有用的特征量或除去信号中的噪声。
The paper introduced the basic theory of wavelet multi-resolution decomposition and studied its application to feature extracting and noise eliminating of electric signals. The result of simulation analysis showed that high frequency component gained from wavelet decomposition could distinctly reflect the details of signals. Through the disposal and reconstruction of high frequency component in signals, useful features in signals could be obtained or the noise in signals could be removed.
出处
《南通大学学报(自然科学版)》
CAS
2005年第3期45-47,共3页
Journal of Nantong University(Natural Science Edition)
基金
江苏省教育厅自然科学基金项目(03KJB470104)
关键词
小波变换
多分辨率
时频分析
特征提取
白噪声
wavelet transformation
multi-resolution
time-frequency analysis
feature extracting
white noise