江苏科技信息 ›› 2016, Vol. 33 ›› Issue (7): 69-70.doi: 10.3969/j.issn.1004-7530.2016.07.029

• 论文 • 上一篇    下一篇

非平稳数据的时频谱分析

李旋, 许宏铭, 戴友刚   

  1. 江苏省地质调查研究院,江苏南京,210018
  • 出版日期:2016-03-05 发布日期:2016-03-05

Spectra Analysis of Non-stationary Data

Li Xuan, Xu Hongming, Dai Yougang   

  • Online:2016-03-05 Published:2016-03-05

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.