摘要
当信号有许多突变点时,传统的Fourier变换难以确定各突变点的位置及强弱,利用Wasf(x)的模极大值点来检测f(x)的突变点,若选择小波为光滑的一阶导数。
When the signal has many break points, the traditional Fourier transfrom can hardly be used to detect the position and intensity of the respective break points. The break points of f(x) is detected with the maximum norm points of W a sf(x) . If the wavelet is selected as smooth a derivative, them it could detect the break points of f(x) by it′s maximum amplitude point of wavelet transform.
出处
《陕西师范大学学报(自然科学版)》
CAS
CSCD
北大核心
1999年第S1期42-44,共3页
Journal of Shaanxi Normal University:Natural Science Edition
关键词
突变检测
小波变换
信号检测
singularity detection
wavelet transfrom
signal detection