摘要
同步压缩小波变换(Synchrosqueezing Wavelet Transform,SWT)属于一种时频重排算法。SWT利用连续小波变换后信号时频域中相位的特点,求取各尺度下对应的频率,然后将同一频率下的尺度相加。相较于传统连续小波变换方法,SWT具有更高的分辨率。
Synchrosqueezing Wavelet Transform SWT is a kind of time-frequency reassignment algorithm, but the algorithm is different from the original rearrangement. SWT principle is based on continuous wavelet transform in the frequency domain phase characteristics of the signal, for each scale, the corresponding frequency, then sum scale of the same frequency. Compared with the traditional wavelet transform it has higher resolution.
作者
陈雅芳
蔡世翔
CHEN Ya-fang;CAI Shi-xiang(Guangzhou Zhong Guang Electric Technology Co.,LTD.,Guangzhou 510660,China;Guangdong Power Grid Company Yunfu Power Supply Bureau,Yunfu 527300,China)
出处
《通信电源技术》
2018年第4期82-85,共4页
Telecom Power Technology
关键词
行波测距
同步压缩小波变换
时频算法
分辨率
traveling wave ranging
synchrosqueezing wavelet transform
time--frequency algorithm
resolution ratio