应用小波变换实现突变信号检测

Application of Wavelet Transform to Burst Signal Detection

介绍了基于小波变换模极大值的奇异性检测理论,针对噪声中故障信号突变点的检测问题,根据信号和噪声的模极大值的尺度变换特性,提出利用3层以上细节信号的乘积作为检测信号。该方法既可以达到增强信号的目的,又可以抑制噪声,求该乘积信号的小波变换,可以实现奇异点精确定位。

The principle of signal singularity detection based on wavelet transformation modulus maximum is discussed in this paper. Aiming at the burst points of failure signals in noise, the product of detailed signals above three layers is used as detection signals according to the modulus maximum scale characteristics of signals and noise. Not only the signals can be intensified but also the noise can he lowered. The odds can be located precisely through calculating wavelet transformation of product signals.