【摘要】 根据小波分析和盲信号分离原理,结合一维盲小波算法在降噪中的应用,构建新的二维盲小波算法在金属矿地震资料噪声降噪中的运用,该算法充分发挥了小波阈值去噪与盲分离去噪的优势。通过所构建的二维盲小波算法对实际的金属矿地震资料进行处理,与金属矿地震资料其他降噪方法作比较,发现二维盲小波算法在金属矿地震资料去噪结果明显,对噪声消除达到理想结果,有利于进行深部金属矿地震勘探。更多还原

【Abstract】 According to the principle of wavelet analysis and blind signal separation,combined with the applications of one-dimensional blind wavelet algorithm in de-noising,a new two-dimensional blind wavelet algorithm is constructed to deal with metal mine noise de-noising.The algorithm gives full play to the advantages of wavelet threshold de-noising and blind source separation de-noising.By building two-dimensional blind wavelet algorithm on the actual metal mine seismic data processing and comparing that with other metal ore de-noising methods,it is found that the two-dimensional blind wavelet algorithm is evident and desirable in the metal mine seismic data de-noising results,which is conducive to deep seismic exploration of metal mine.更多还原