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机构地区:[1]中国石油大学(北京)油气资源与探测国家重点实验室,北京102249
出 处:《石油物探》2008年第4期367-371,共5页Geophysical Prospecting For Petroleum
基 金:国家高技术研究发展计划(863)项目(2007AA062229)资助
摘 要:地震资料信噪比是影响地震资料质量的关键因素之一,目前的去噪方法大多难以保证在去噪的同时不损伤有效波。为此,提出了基于匹配追踪算法的时频滤波方法,该方法采用"减去"去噪方式,可以有效地去除噪声,且不损伤有效波。匹配追踪算法的基本原理是,将任意信号分解为波形的线性延展。而这些波形是从函数的冗余代码中选出,可以最佳匹配信号的结构。用选出的波形中代表有效信号的部分对信号进行重构,可以达到无损去噪的目的。分别利用匹配追踪时频滤波法和F-X滤波法对含有随机噪声的仿真信号进行了去噪处理,结果表明,匹配追踪时频滤波法可以较好地去除仿真信号中的随机噪声,降低对高频信号的损伤。S/N ratio is one of the key factors affecting the quality of seis- mic data.The existing de-noise methods are difficult in removing noise without damaging effective signals.Therefore,the time-fre- quency filtering de-noise method based on matching pursuit algo- rithm was proposed.Adopting the'subtracting way',this method can effectively remove the noise without damaging the effective sig- rials.Matching pursuit algorithm can decompose any signal into a linear expansion of waveforms selected from a redundant dictionary of functions to best match the signal structures.The waveform re- presenting the effective signals is used to reconstruct the signals to remove noise without damaging other signals.Matching pursuit time-frequency filtering method and F-X filtering method were sep- arately used to attenuate the random noise in artificial signals, showing that the former can effectively remove the random noise in artificial signals and decrease the damage of high-frequency signals.
分 类 号:P631.4[天文地球—地质矿产勘探]
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