CAJ | 학술논문

根据小波变换原理及小波变换分频特性，提出了一种地震数据降噪处理的改进的小波变换算法。首先将地震数据通过小波变换分解为不同频带上的数据，然后把不同频带的信号进行小波阈值法处理，并进一步对不同频带数据进行FASTICA降噪处理，提取出与源信号相关信息，最后通过小波重构估计源信号。通过改进的小波算法对实际地震数据进行降噪处理，结果表明改进的小波算法能有效消除大量干扰信息，去噪后的地震数据分辨率高。
근거소파변환원리급소파변환분빈특성，제출료일충지진수거강조처리적개진적소파변환산법。수선장지진수거통과소파변환분해위불동빈대상적수거，연후파불동빈대적신호진행소파역치법처리，병진일보대불동빈대수거진행FASTICA강조처리，제취출여원신호상관신식，최후통과소파중구고계원신호。통과개진적소파산법대실제지진수거진행강조처리，결과표명개진적소파산법능유효소제대량간우신식，거조후적지진수거분변솔고。
Acoording to the principle of wavelet transformation and the characteristics of dividing frequency ,the passage proposed an improved noise reduction processing seismic data wavelet transform algorithm. In the ifrst place, seismic data is decomposed into data on different frequency bands by wavelet transform. Then the signal of different frequency bands is manipulated by wavelet threshold method ,which is further processed by FASTICA to extract the relevant information of the original signal. Finally the wavelet reconstruction estimste the original signal. The actual seismic data is denoised by the improved wavelet algorithm and the results show that the improved algorithm can effectively eliminate a large number of wavelet interference information, the resolution of denoised seismic data is higher.