g function

By doing the Laplace transform of precisely measured intensity-intensity time correlation function, we can get a translational diffusion coefficient distribution G ( D); After combining the static and dynamic LLS results, i.

通过对动态光散射测得的电场－电场时间相关函数的拉普拉斯变换，求得平动扩散系数分布G（D）；

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This paper also studied the design of G function family for multi-access approach.

同时也研究了针对G函数族设计的码分多址方式。

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It can be find that the solution using the H function is superior to the solution using the G function ( generalized Green's function).

文中给出三个命题，由此可以看出，用H-函数比用G-函数（一般的格林函数）解此边值问题更为优越。

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G function arithmetic based on fuzzy principle and frequency grouping

基于模糊原理与频率分组的G函数算法

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Biochemical examination and molecular biology examination are mostly used to check plant protein G, which has important function of regulation in the respect of light signal conduction, hormone signal conduction and pathogen signal conduction.

检测植物G蛋白多采用生化检测法和分子生物学检测法.植物G蛋白在光信号转导、激素信号转导和病原信号转导等方面有重要调控作用。

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A new G function algorithm based on m sequence is put forward.

提出的G函数算法与m序列有关。

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Space is characterized in terms of CF family and g function.

用CF集族和g函数来刻画了σ空间。

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Conclusion IBS patients' gallbladder empty in g ratio decreased, empty in g function is letdown.

结论IBS组胆囊排空率下降，排空功能不良。

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DFH G Function Algorithm Based on Additivity Fuzzy System Principle

基于可加性模糊系统原理的差分跳频G函数算法

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The presented monitor system enables accurate observation and analysis of the SUT behaviour from different abstraction levels ( e.g.system function level), providing strong support for complex system design.

该监测系统允许从不同的抽象层面（如系统功能级）精确观察并分析待测系统的行为，为复杂系统的设计提供强有力的支持。

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As early as in 1725, Italian philosopher and rhetorician G. Vico discovered that metaphor had cognitive function. Later, since the publishing of the book Metaphors we live by written by Lakoff& Johnson, the study of metaphor in cognitive linguistics has been touched.

早在1725年，意大利哲学家和修辞学家维果（G.Vico）就发现隐喻具有认知功能，自莱考夫（G.Lakoff）和约翰逊（M.Johnson）《我们赖以生存的隐喻》出版以来，认知语言学的隐喻研究正式拉开序幕。

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The G Function Algorithm for CHESS System Based on Frequency Grouping

基于频率分组的CHESS系统G函数算法研究

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In this paper, the function approximation of Gelenbe Neural Network ( GNN) is discussed and it is proved that GNN can approximate any G-type polynomial by using constructional method.

该文研究了G神经网络的函数映射能力，给出了前馈G神经网络映射任意G型多项式的构造性证明。

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