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Polarization Filtering in Time-frequency Domain Based on Generalized S Transform

机译:基于广义S变换的时频域极化滤波

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We propose an adaptive covariance polarization filtering in time-frequency domain based on the generalized S transform.On one hand,we structure the cross-energy matrix in time-frequency domain using the generalized S transform,and compute instantaneous polarization attributions through eigenanalysis.On the other hand,we design filtering algorithm in time-frequency domain,achieve multi-component seismic polarization filtering.The specialties of this method are that the length of time window of covariance matrix is determined by instantaneous frequency of the multi-component seismic data,it can adaptive with the dominant period of the desired signal.Meanwhile,it calculates polarization parameters at each time-frequency point and no longer need to undertake the interpolation.The processing results of model and real three-component coalfield exploration Seismic data show that this method has the very good visual,high resolution and practicability.
机译:我们提出了一种基于广义S变换的时频域自适应协方差极化滤波方法。一方面,我们利用广义S变换在时频域中构造了交叉能量矩阵,并通过特征分析来计算瞬时极化属性。另一方面,我们设计了时频域滤波算法,实现了多分量地震极化滤波。该方法的特点是协方差矩阵的时间窗长度由多分量地震数据的瞬时频率确定,同时,它可以计算每个时频点的极化参数,而不再需要进行插值。模型和实际三分量煤田勘探地震数据的处理结果表明:该方法具有很好的视觉效果,高分辨率和实用性。

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