importance sampling的例句大全

In this paper, we apply Importance Sampling ( IS) technique to estimate the BERs of digital fiber optic communication links.

本文使用重要性抽样（IS）方法，对数字光纤通信链路的误码率参量进行了估计。

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The paper uses improved importance sampling and new convergent criterion to increase the speed of constringency.

算法设计上,采用改进的蒙特卡罗重要抽样法,并选取了全新的收敛判据,极大地提高了收敛速度.

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Due to the shortcomings of general reliability analysis method of underground construction structures, a new method that combines artificial neural network and importance sampling Monte Carlo method is put forward for analyzing the reliability and applied to the rock-socketed support structure of supper-sized foundation pit.

针对一般地下施工结构可靠度理论方法的不足，提出人工神经网络结合重要性抽样的Monte Carlo可靠度分析方法，并应用于一特大超深基坑的嵌岩支护结构。

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Stratified sampling and importance sampling are two Monte-carlo statistic methods. Software Markov-chain usage model is a mathematical model and preciously describes the usage of software.

分层抽样和重要抽样方法是两种常用的蒙特卡罗统计方法，Markov链使用模型是利用数学模型精确地描述软件的使用。

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Estimation of Undetected Error Probability of Block Codes Using Importance Sampling

用重要性抽样方法估计分组码的未检概率

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The undetected error probability of linear block codes for both error detection and correction is estimated with importance sampling.

研究用重要性抽样仿真方法估计线性分组码同时纠错和检错时的不可检错误概率。

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In order to improve computational efficiency, this paper introduces RBF Neural Network to substitute structural performance function evaluations in Importance Sampling Monte-Carlo simulations and proposes RBF-Monte-Carlo approach for reducing structural analyses.

鉴于此，在蒙特卡罗重要抽样方法的基础上，提出了利用RBF神经网络替代原结构功能函数的RBF-蒙特卡罗方法，以提高工作效率。

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a study on risk assessment of structure failure for fixed platforms based on the importance sampling procedure

基于重点抽样法的固定式平台结构风险评价研究

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this paper aims to evaluate the system reliability sensitivity of main beams using the adaptive importance sampling method.

介绍了自适应重要抽样方法的基本原理，定义了均值敏感性因子和标准差敏感性因子。

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considering the portfolios credit risk measurement, the use of importance sampling method is superior to crude monte carlo method.

因此对于组合信用风险的度量，使用重要抽样方法要优于简单蒙特卡罗方法。

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this paper trys to use the importance sampling method.

在本文中，尝试使用重要抽样方法。

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sequential importance sampling method for tracking a maneuvering target with a single passive observer

基于序贯重要采样算法的被动单站机动目标跟踪

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application of an improved importance sampling method in mechanisms reliability

改进的重要度抽样法在机构可靠性中的应用

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adaptive importance sampling method for the structural reliability computation of turbine blade

计算涡轮叶片结构可靠度的自适应重要抽样法

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monte-carlo method; probabilistic load flow; importance sampling method; kernel method;

概率潮流；蒙特卡罗抽样；重要抽样法；核策略；

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importance sampling method for structural systems with nonlinear failure surfaces

非线性结构体系可靠度的重要抽样方法

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It is efficient to apply importance sampling concepts to the sensitivity analysis.

利用重点取样法来做敏感度分析时,不需再重新模拟样本,可减少运算上的时间.

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Importance sampling has wide application as an efficient reliability analysis approach.

重要抽样法是一种计算效率高而应用广泛的可靠性分析方法.

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It can't avoid that the problem of transforming a continue signal into a discrete digital series in the process of design a digitalized signal sampling system, so it is importance to discuss the sampling error for Hi-Fi digital sampling system.

连续信号的离散化，是设计数字化信号采集系统时不可避免要遇到的问题。因此，采样误差的讨论对高保真的信号采集具有重要意义。

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for the importance of ft in signal processing, the most important step from theory to practice is to change the digital signal into analog signal by the method of sampling.

由于傅立叶变换在信号处理中有着很重要的意义和作用，而在信号处理中最重要的由理论通向实践的重要一步就是将数字信号转换为模拟信号，这项工作的实现手段就是采样。

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