摘要
本文基于小波变换,提出了一种提取时间序列特征的方法,用小波变换的低频逼近信号表示原时间序列。与傅里叶变换降维比较,该方法更能体现原时间序列的细部特征。
This paper proposed a method to get characteristic of time series which based on the wavelet transform.,It approaches the original times series with lower_frequency signal of wavelet transform.Compared with the dimensionality reduction of fourier transform,this method is better than fourier transform in express minute part of time series.
出处
《佳木斯教育学院学报》
2011年第5期117-118,共2页
Journal of Jiamusi Education Institute
关键词
小波变换
特征提取
时间序列
傅里叶变换
wavelet transform
extraction of features
time series
fourier transform