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卷积反演是卷积的逆运算。Deconvolution is the inverse algorithm of convolution.

因此，对可控震源资料做零相位反褶积处理是合适的。Therefore, zero phase deconvolution is suitable for vibroseis data.

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欧拉反褶积法是磁测资料解释的重要方法。So Euler deconvolution method is important for magnetic data interpretation.

讨论了基于负熵的地震盲反褶积方法。A seismic blind deconvolution method based on negative entropy was discussed.

首先简单介绍了小波软阈值去噪和盲目反卷积原理。The theories of MDL denoising and blind deconvolution are firstly introduced.

常规的反演方法是对感应测井资料进行线性反褶积。The traditional inversion is the linear deconvolution for induction log data.

本文论述了最大方差模反褶积在小型计算机上的实现方法。This paper discusses how to realize maximum variance norm deconvolution on a minicomputer.

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分解处理的张量卷积方法还用于多分量处理。The decomposed strain deconvolution method can be also used for multi-component processing.

所以在处理过程中应根据不同的区域资料特征采取不同的反褶积方法。So different territorial character data have to be dealt with different ways of deconvolution.

从迭代格式来讲，它是极小熵反褶积方法的推广。In iterative algorithm the method generalizes iterative model of minimum entropy deconvolution.

针对各自的特征，利用预测反褶积和模型拟合方法对它们进行了衰减试验。Predictive deconvolution method and pattern fitting method are used to attenuate the multiples.

其次，NMO、DMO和反褶积等常规处理流程，都会造成振幅值失真。Second, conventional processing flows such as NMO, DMO, and deconvolution will distort amplitudes.

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对使用预测反褶积压制多次波效果不好的区域，使用时窗压制技术，并取得了较好的效果。Using f-k filter and windows gate attenuation at the area the predictive deconvolution is unuseful.

对联用色谱数据的半自动解析法进行研究。Approach on semiautomatic deconvolution of hyphenated chromatographic data has been made in this paper.

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。A deconvolution approach with an additive regularization term built around an minimal L1 norm is proposed.

改进并提出了基于频域维纳滤波器方法的空域图象模糊复原算法。An improved spatial domain image deblurring algorithm is proposed based on wiener filter and deconvolution.

提出了超宽带无线信道测量中一种新的解卷积算法—R-CLEAN算法。Thirdly, a new deconvolution algorithm, R-CLEAN algorithm, in UWB wireless channel measurement is promoted.

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给出了一个基于自然梯度的后非线性多信道盲解卷算法。A natural gradient based algorithm for multichannel blind deconvolution of post-nonlinear mixtures is proposed.

提出一种新的基于累积量极值的非线性系统盲反卷积算法。A new cumulate extrema based algorithm, for blind deconvolution of the sandwich nonlinear system, is developed.

为此，笔者在借鉴前人研究的基础上，提出了一种新的混合相位反褶积方法。For that reason, the authors presented a new mixed phase deconvolution on the basis of the predecessors studied.