小波奇异性分析在煤厚探测信号处理中的应用

Signal Processing of Coal Thickness Detection Based on Wavelet Singuality Analysis

小波变换为信号的多尺度瞬态分析提供了较好的方法。本文将小波分析在模极大值处理中的优势应用到煤层厚度探测的信号分析中,根据信号小波变换模极大值和信号奇异性之间的关系,由小波变换模极大值沿尺度变化趋势分析出信号的奇异点,得到反射波的初始到达时刻,从而计算出煤层的厚度,取得了比较理想的效果。为信号处理提供了一种新颖的方法。

Wavelet transform provides a better methord for studying the multiscale transient representation of signals. This paper introduces the theory of singularity detection based on wavelet transformation modulus maximum into singal analysis of coal thickness detection. According to the relationship between modulus maximum of wavelet transformation and signal singularity ,obtain the arrivement time of elastic wave, then compute the coal thickness and the result is ideal. Providing a new method of singal process of coal thickness detection.