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小波奇异性在地震信号去噪中的应用
The Application of Wavelet’s Singula Points in the Noise Removal of Seismic Signals
【摘要】 论文介绍了地震信号的去噪过程中,利用小波良好的时频局部化能力和多分辨率分析能力,对信号进行变换,利用变换后的幅值极大点检测出信号的奇异点(突变点,包含了震相和噪声),继而利用在不同的变换尺度下,震相信号和噪声模极大值的变化特征的不同来去除噪声。利用我台的地震信号进行验证,该方法去噪后震相更清晰,震相的标注信度更高。
【Abstract】 This paper introduces the transform of seismic signal during the process to noise removal,using the localization and multiresolution capability of wavelet.We find the singular points by the maximum value point of amplitude,which includes the noise and phase.Under different transformation scales,the modulus maximum feature of phase signal and noise signal are inconsistency,then the noise can be removed.By the verification of our station seismic signal,we draw the conclusion that the phase is more distinct and more reliable.
【关键词】 地震信号;
小波;
奇异性;
模极大值;
【Key words】 seismic signal; wavelet; singular points; maximum value point;
【Key words】 seismic signal; wavelet; singular points; maximum value point;
- 【文献出处】 防灾科技学院学报 ,Journal of Institute of Disaster-Prevention Science and Technology , 编辑部邮箱 ,2009年02期
- 【分类号】P315.61
- 【被引频次】2
- 【下载频次】181