Wavelet parameter and phase estimation using cumulant slices

Giannakis G.B.

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Wavelet parameter and phase estimation using cumulant slices

机译：使用累积量切片的小波参数和相位估计

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A simple, closed-form expression relates one-dimensional output cumulant statistics with the parameters of a known-order moving-average wavelet. Based on this relationship the author obtains unique parameter and phase estimates of autoregressive moving-average seismic wavelets. The input reflectivity sequence is assumed to be non-Gaussian, independent, and identically distributed. The wavelet is not assumed to be minimum phase and is allowed to include all-pass factors. The seismogram is contaminated by additive-colored Gaussian noise. Simulations demonstrate that the algorithm works well for moderate-size data records with a relatively low signal-to-noise ratio.

机译：一个简单的闭式表达式将一维输出累积量统计信息与已知阶移动平均小波的参数相关联。基于这种关系，作者获得了自回归移动平均地震子波的唯一参数和相位估计。假设输入反射率序列是非高斯的，独立的并且分布均匀。小波不被假定为最小相位，并且被允许包括全通因子。地震图被加色的高斯噪声污染。仿真表明，该算法适用于信噪比相对较低的中等大小的数据记录。

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《IEEE Transactions on Geoscience and Remote Sensing》 |1989年第4期|P.452-455|共4页
作者
Giannakis G.B.;
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正文语种 eng
中图分类无线电电子学、电信技术;
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机译：高阶积零切片在小波相位校正中的应用
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机译：使用累积匹配方法估计非间平混合相小波的参数有效
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Wavelet parameter and phase estimation using cumulant slices

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