小波与相关函数算法在矿山震源定位中的应用

Application of Wavelet and Correlation Function Algorithm in Mining Source Localization

中文关键词:数字信号处理  小波滤波  相关函数  震相提取  LabVIEW

英文关键词:digital signal processing  wavelet filtering  correlation function  seismic phase extraction  LabVIEW

中文摘要:

      针对矿震震相提取分析中震相信号提取困难、噪声影响大、精度低等问题，提出从小波时频分析和统计学的角度，根据小波域内矿震信号与噪声的不同特性以及不同采集通道间信号具有相关性特点，采用小波阈值滤波算法和相关函数算法对矿震信号进行计算，得到了各个采集通道间较准确的波到时差。试验结果表明，该算法对高斯噪声和其他非相干噪声具有抑制作用，能够有效提高计算结果的精度。

英文摘要:

      According to the analysis of seismic phase extraction, the phase signal extraction is difficult, with big noise and low precision. This paper presents a new algorithm based on Wavelet time frequency analysis and statistics. According to the different characteristics of wavelet domain of seismic signal and noise, and the correlation betweent different signal acquisition channels, using the wavelet threshold filtering algorithm and correlation algorithm to calculate the seismic signal, more accurate the time difference between the wave is obtained for each acquisition channel. The results show that this method provides an inhibition to gauss noise and other non coherent noise, and improves the accuracy of calculation effectively.