CAJ | 학술논문

面波勘探在矿井探测方面已经成为了一种有力的手段。采集到的面波信号由于受到噪声的干扰，在进行信号解析之前，去除噪声干扰是很有必要的。提出了一种新的基于自适应阈值的小波模极大值算法对面波信号去噪，关键是在每个分解尺度上选取合适的阈值，对小波变换系数的模极大值点进行筛选，相对传统的阈值选取，该方法达到了满意的去噪效果。
면파감탐재광정탐측방면이경성위료일충유력적수단。채집도적면파신호유우수도조성적간우，재진행신호해석지전，거제조성간우시흔유필요적。제출료일충신적기우자괄응역치적소파모겁대치산법대면파신호거조，관건시재매개분해척도상선취합괄적역치，대소파변환계수적모겁대치점진행사선，상대전통적역치선취，해방법체도료만의적거조효과。
Surface wave exploration has become a powerful tool in mine detection. Denoising is necessary before sig-nal analysis because the collected signal is disturbed by noise. A new adaptive threshold based on wavelet modulus maxima de-noising algorithm is proposed, which can select the optimal threshold to filter the maxima at each decomposition scale compared with the traditional threshold. This method makes a good effect of denoising.