deconvolution

The theories of MDL denoising and blind deconvolution are firstly introduced.

首先简单介绍了小波软阈值去噪和盲目反卷积原理.

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Then a reversed time fixed interval optimum deconvolution algorithm, using small storage is presented.

基于该滤波器给出了节省存储空间的逆向固定区间最优反卷积算法.

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After analyzing non-stationary signals blind deconvolution algorithms, a new sorting deconvolution is proposed.

深入分析了 非 平稳信号的盲解卷算法, 并提出了将其用于雷达信号分选的新思路.

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The blind deconvolution principle of pulse wave is studied, based on system-analysis model homomorphic deconvolution.

在同态解卷的脉搏系统分析模型的基础上,研究了脉搏信号盲解卷的原理.

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Euler deconvolution is an important inversion method for the interpretation of magnetic and gravity anomalies.

欧拉反演是重磁资料反演解释的重要方法.

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Blind deconvolution algorithm can also separate acoustic twin target signal.

盲解卷积算法也能有效分离水中双目标噪声信号.

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Deconvolution and inversion of receiver function is a basic problem for receiver function study.

接收函数的提取和反演是接收函数研究的核心问题.

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The point-spread function, which was necessary for the deconvolution, was obtained in our experimental measurement.

通过实验测量得到了解卷积所必需的点扩展函数.

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Using Fourier self-deconvolution ( FSD ) to enhance spectral resolution of AOTF atomic emission spectrometer is described.

本文报道了利用傅里叶自去卷积 ( FSD ) 来提高AOTF原子发射光谱仪的光谱分辨率.

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The effect of cAMP on erythrocyte membrane proteins was studied by FITR, deconvolution and curvefitting.

利用FTIR光谱法和计算机辅助解析(去卷积、曲线拟合)研究了环磷腺苷(cAMP)对膜蛋白二级结构的影响.

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Accordingly, we get the method and conclusion for double channel deconvolution.

从而得出解决双通道信号卷积反演问题的方法和结论.

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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.

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Euler deconvolution method is important for magnetic data interpretation.

欧拉反褶积法是磁测资料解释的重要方法.

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The methodalmost removes influence resulting from reflection coefficient sequence in wavelet autocorrelation estimation in statistical deconvolution.

此法基本上克服了统计性反槽积方法中反射系数序列在计算子波自相关过程中带来的影响.

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A deconvolution approach additive regularization term built around an minimal L 1 norm is proposed.

文中在基于最小L1范数的加性调整条件下,提出了一种新的去卷积方法.

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