摘要
为了寻找信号特征提取优化的方法,排除误诊断,分析了Daubechies小波系列的频带频率特性,指出了小波分析存在着频带能量泄漏的问题。频带能量泄漏不利于信号的特征提取和分析。通过仿真研究,得到了频带能量泄漏的基本规律,提出了频带能量增量比较法。该方法通过比较小波分析的相邻三个频带的能量增量,确定信号的特征频率分量所在的频带,进而以该频带的能量增量作为信号变化的特征。实验证明,运用该方法可以优化信号特征的提取。
In order to search the signal feature extraction optimization method and eliminate mistakes in diagnosis, the frequency characteristics of the daubechies wavelet series are analyzed. The problem of the frequency band energy leakage （FBEL） wavelet analysis is pointed out. The FBEL is not favourable to signal feature extraction and analysis. By the simulation research, the basic rules of the FBEL are gotten, and a frequency band energy increment comparison method is proposed. With this method, the frequency band of the signal feature frequency component is confirmed by the comparison among three adjacent frequency bands. The energy increment of the confirmed frequency band can act the feature of signal change. Experiments show that the signal feature extraction is optimized with the above method.
出处
《辽宁工程技术大学学报（自然科学版）》
EI
CAS
北大核心
2005年第5期734-736,共3页
Journal of Liaoning Technical University (Natural Science)
基金
河南省自然科学基金资助项目(004060100)
河南省教育厅自然科学基金资助项目(20015100013)
关键词
小波分析
能量泄漏
噪声
特征提取
wavelet analysis
energy leakage
noise
feature extraction
