基于小波变换的信号断点检测

小波分析是近15年来发展起来的一种新的时频分析方法,其在信号处理中有着广泛的应用。在很多情况下单单分析其时域或频域的性质是不够的,比如在电力监测系统中,即要监控稳定信号的成分,又要准确定位故障信号,这就需要引入新的时频分析方法。小波分析正是由于这种需求而发展起来的通过小波变换来精确地检测信号发生变化的时刻,构造一个信号模型,由一个低频正弦波信号连接一个高频正弦波信号,利用小波工具可以检测出信号发生不连续的间断点的位置。

Detection of Signal Discontinuity Point Based on Wavelet Transform

The wavelet analysis is a new timefrequency method that has developed in recent fifteen years and has been widely applied in signal processing.Under many circumstances,the simple analysis of time or frequency field is inadequate.For example,in a system of electronic inspection,we have both monitor stable signals and accurately locate disorder signals,which needs to introduce a new timefrequency method.And thus,the wavelet analysis has developed due to this demand.This thesis is to detect the point of signal discontinuity by wavelet transform.And it constructs signal model which is composed of a high frequency sine wave signal and low one.By wavelet tools,we are able to detect the point of signal discontinuity.