基于小波模极大值的煤厚信号奇异性检测

Singularity Detection of Coal Thickness Signals Based on Wavelet Transform Modulus Maximum

信号的突变性或奇异性通常携带有最重要的信息,小波变换为信号的多尺度瞬态分析提供了最合适的方法。阐述了基于小波变换模极大值的奇异信号检测理论,并将其应用在煤厚探测信号的奇异性检测中,通过计算机语言编程,对实测信号奇异点进行定位,从而判断出煤层的厚度,为煤层厚度探测提供了一种新颖的方法。

The points of sharp variation or singularities usually carry the important information about the signals. Wavelet transform provides a suitable framework for studying the multiscale transient representation of signals. This paper introduces the theory of singularity detection based on wavelet transformation modulus maximum, which detects singularity of coal thickness signals. By compiling computer language programs, locating coal signals singularity points and judging the coal thickness. We provide a new method of detection coal thickness.