摘要
从小波变换的基本原理出发,对实际矿震信号进行了去噪处理,通过用傅里叶变换和小波变换对北京木城涧煤矿实际矿震信号去噪效果分析,小波变换在对非平稳的矿震信号去噪方面有着傅里叶分析不可比拟的优点。并探索了不同的小波基和阈值选取准则以及分解尺度对矿震信号去噪结果的影响。
Based on basic principle of wavelet transformation, actual rock-burst signal is denoised. Actual rock-burst signal from Muchengjian Colliery in Beijing is respectively denoised with Fourier transformation and wavelet transformation. Result shows that wavelet transformation is better than Fourier transformation in denoising non-stationary rock-burst signal. Influence of different wavelet basis, different threshold selection standard and decomposing scale on denoising result is analyzed as well.
出处
《煤矿开采》
北大核心
2009年第1期29-31,共3页
Coal Mining Technology
基金
国家自然科学基金重大项目(50490275)
关键词
小波变换
矿震信号
去噪
wavelet transformation
rock-burst signal
denoising
