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A TIME-VARYING WAVELET ESTIMATION METHOD BASED ON MODIFIED SPECTRAL MODELING IN THE T-F DOMAIN

机译:一种基于T-F域改进光谱建模的时变小波估计方法

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摘要

To effectively solve the problem existing in the time-varying seismic wavelet extraction method based on spectral modeling in the time-frequency (T-17) domain, a time-varying seismic wavelet extraction method based on modified spectral modeling in the T-F domain is proposed. For reducing the energy diffusion of the T-F spectra of seismograms, the synchrosqueezing modified S-transform (SSMST) is used to extract the T-F spectra of seismograms. The energy is gathered at the real frequency and the extraction accuracy of the T-F spectra of seismograms is improved. To solve the problem that the polynomial order needs to be determined artificially, an evaluation function describing the quality of estimated wavelet amplitude is established. The polynomial order is determined by comparing the value of the evaluation function. The phase spectra of seismic wavelets are extracted by phase-only filter. The validity of the method is verified by simulation experiments and real seismograms data processing.
机译:为了有效地解决基于时频(T-17)结构域的光谱建模的时变地震小波提取方法存在于时变地震小波提取方法中,提出了一种基于TF结构域中改性光谱建模的时变地震小波提取方法。为了减少地震图的T-F光谱的能量扩散,用于提取地震图的T-F光谱来提取Seagchroosqueezing改性的S转化(SSMST)。能量以真实频率聚集,改善了地震图的T-F光谱的提取精度。为了解决需要人工确定多项式顺序的问题,建立了描述估计小波幅度的质量的评估函数。通过比较评估函数的值来确定多项式顺序。地震小波的相位光谱由仅相位滤波器提取。通过模拟实验和真实地震图数据处理验证该方法的有效性。

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