CAJ | 학술논문

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。
근거소파분석화맹신호분리원리，결합일유맹소파산법재강조중적응용，구건신적이유맹소파산법재금속광지진자료조성강조중적운용，해산법충분발휘료소파역치거조여맹분리거조적우세。통과소구건적이유맹소파산법대실제적금속광지진자료진행처리，여금속광지진자료기타강조방법작비교，발현이유맹소파산법재금속광지진자료거조결과명현，대조성소제체도이상결과，유리우진행심부금속광지진감탐。
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