宋丽君

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所属单位:信息与控制工程学院
发表刊物:Science and Engineering Research Support soCiety
关键字:中文关键字:小波包;灰色理论;信号处理;分解;特征矩阵,英文关键字:Wavelet packet;grey theory;signal analysis;decompo
摘要:In allusion to the shortcomings of the existing signal analysis method for high-frequency analysis,non-stationary signal analysis and so on,wavelet analysis and grey theory are introduced into the signal analysis,a new signal analysis method based wavelet analysis and grey theory is proposed in this paper.In this method, the wavelet packet is used to nonredundantly, lossless and orthogonally decompose different components of noise signals into different frequency bands with different scales, in order to realize the signal frequency band division with total energy conservation for obtaining the energy feature of each frequency band. Then these energy frequency bands are used to construct the feature vector. And the grey theory is used to analyze the correlation degree between the equipment states and system parameters in order to quickly and accurately determine the position of source.Finally, for a typical signal simulation and analysis, the effectiveness of the signal method is tested and verified.
备注:宋丽君
合写作者:Quhongxing
第一作者:宋丽君
论文类型:期刊论文
卷号:卷:Volume 8
期号:期:No. 9
页面范围:页:239-247
是否译文:否
发表时间:2015-09-01