江苏科技信息 ›› 2016, Vol. 33 ›› Issue (7): 69-70.doi: 10.3969/j.issn.1004-7530.2016.07.029
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李旋, 许宏铭, 戴友刚
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Li Xuan, Xu Hongming, Dai Yougang
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摘要: 文章阐述了几种常用的非平稳数据处理方法,即短时傅里叶变换、小波变换、Hilbert变换。分析了小波变换和Hilbert变换在非平稳数据处理中的特点。用算例进行实验分析,比较了傅里叶变换、小波变换和Hilbert变换等时频谱分析的各自特点。
关键词: 傅里叶谱, 小波谱, Hilbert谱, 非平稳数据, 频谱分析
Abstract: Several methods of spectra analysis of non-stationary data are expatiated in this paper. It includes short-time fourier transform, wavelet transform and hilbert transform. A detailed comparison of wavelet transform and hilbert transform gives us the character of the non-stationary data. Simulate experimental results show respective characters and differences of the three time-frequency analysis methods.
李旋, 许宏铭, 戴友刚. 非平稳数据的时频谱分析[J]. 江苏科技信息, 2016, 33(7): 69-70.
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链接本文: https://qkcb.jssti.cn/jskj/CN/10.3969/j.issn.1004-7530.2016.07.029
https://qkcb.jssti.cn/jskj/CN/Y2016/V33/I7/69