Signal processing and method application have been researched on the deconvolution filtering, signal composition and background conductivity computing.
从反褶积滤波、信号合成、背景电导率计算等方面探讨了信号处理的原理和方法应用。
They can handle the white noise deconvolution fused filtering, smoothing and prediction problems in a unified framework.
它们可统一处理白噪声反卷积融合滤波、平滑和预报问题。
The parsimonious processing includes deconvolution, constant phase filtering, pure phase filtering, frequency spectrum extrapolation, stacking and so on.
集约化过程包括反褶积、常相位滤波、纯相位滤波、频谱外推以及叠加处理等。
In these methods, we use the optimum Wiener filtering and Window filtering deconvolution technique to process the background conductivity signal.
包括了最佳维纳滤波反褶积与窗函数滤波反褶积对于背景电导率信号还原的处理方法。
In this paper, a new method to determine the optimum filtering parameters of deconvolution is presented.
本文介绍了一种确定反卷积的最佳滤波参数的新方法。
The process of implementation as follows: the matched filtering operators on two records A and B at same position are computed by deconvolution;
实现过程为：通过反褶积方法求取同一位置的两个记录A和B的匹配滤波算子；
The process of implementation as follows: the matched filtering operators on two records A and B at same position are computed by deconvolution;
实现过程为：通过反褶积方法求取同一位置的两个记录A和B的匹配滤波算子；
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