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。
Several methods of spectra analysis of non-stationary data are expatiated in this paper. It includes shorttime 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.
出处
《江苏科技信息》
2016年第7期71-72,共2页
Jiangsu Science and Technology Information
关键词
傅里叶谱
小波谱
Hilbert谱
非平稳数据
频谱分析
fourier spectrum
wavelet spectrum
hilbert spectrum
non-stationary data
spectra analysis
