小波谱白化方法提高地震资料的分辨率

小波变换具有分析性质好和时一频局域化好的特性，而谱白化方法是高分辩处理中一种有效的频率补偿手段。本文利用它们各自的优点，使二者有机结合起来，提出了一种地震资料高分辩处理方法。该方法首先对地震信号进行小波分解，再利用谱白化方法对小波分尺度信号进行合理的频率补偿，最后将频率补偿后的小波分尺度信号进行小波反变换，得到高分辨地震信号。理论模型试算和实际地震资料处理结果证明了该方法的正确和有效性。

Improving resolution of seismic data using wavelet spectrum whitening.

Wavelet transform has a good analyzing feature and a good time frequency localization. Spectrum whitening is a effective tool of frequency compensation in high resolution processing. Using their advantages and combining both of them, the paper presents a high resolution processing technique for seismic data. The method conducts first a wavelet decomposition of seismic data, then makes a reasonable frequency compensation for fractional scaling signal of wavelet, finally the fractional scaling signal of wavelet after frequency compensation has been conducted inverse wavelet transform and resulted a high resolution seismic signal. Theoretic model calculation and field seismic data processing results showed that the method is correct and effective.