This paper trys to use the importance sampling method.
在本文中，尝试使用重要抽样方法。
So Importance Sampling simulation is used to reduce the time of simulation.
重点抽样技术是一种方差减少技术，它能显著地减少运算时间。
Maximum likelihood DOA estimator based on importance sampling (ISMLE) is proposed.
提出了基于重要性抽样的最大似然方位估计方法。
And the importance sampling technique is applied to improve the sampling efficiency.
进一步研究了采用重要性抽样技术提高抽样效率的问题。
Bayesian maximum a posterior DOA estimator based on importance sampling (ISBM) is proposed.
提出了基于重要性抽样的贝叶斯最大后验概率方位估计方法。
Importance sampling is used for interlocking software testing and assessment, which is researched emphatically.
抽样方法在计算机联锁软件测试和评估中的具体应用。
In this paper, the approximate importance sampling technique is presented for structural reliability evaluation.
本文提出一种近似重要性抽样方法来计算结构可靠度。
Importance sampling technique is an effective variance reduction technique in Monte Carlo simulation method for pricing options.
在期权定价的蒙特卡罗模拟中，重要性抽样是一种有效的方差减小技术。
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。
In particle filters (PF), sequential importance sampling will result in sample impoverishment and further the loss of diversity after resampling.
粒子滤波算法(PF)中，序列重要性采样引起采样点贫化，进一步经过重采样后造成分集度损失。
In this paper, a new particle filter based on sequential importance sampling (SIS) is proposed for the on-line estimation problem of non-Gauss nonlinear systems.
针对非线性、非高斯系统状态的在线估计问题，本文提出一种新的基于序贯重要性抽样的粒子滤波算法。
Combining scattered sampling technique with importance sampling method, an improved importance sampling method for power system reliability evaluation is proposed.
将分散抽样方法与重要抽样方法相结合，提出了一种应用于电力系统可靠性评估的改进重要抽样算法。
A single Gaussian distribution is obtained to approximate the posterior distribution of state parameters based on sequential importance sampling and Monte Carlo methods.
通过基于重要性采样和蒙特卡罗模拟方法得到一高斯分布来近似未知状态变量的后验分布。
To reduce sampling number and assure simulation precision, Importance Sampling method and Latin Hypercube Sampling method are coupled with Neumann expansion SFEM respectively.
为了减少随机抽样的次数并保证蒙特卡罗法的数值模拟精度，对比引入了重要抽样法和拉丁超立方体抽样方法；
Reliability sensitivity algorithm is presented on the basis of subset simulation and importance sampling due to the small failure probability highly experienced in engineering.
针对工程实际中大量存在的小失效概率问题，提出了基于子集模拟和重要抽样的可靠性灵敏度分析方法。
In this paper, adaptive importance sampling (is) techniques is used to estimate the crosstalk and the BER of the WDM system model consisting of wavelength routing device and optical receiver.
本文采用自适应重要性采样(IS)方法，推导得出由波长路由器件和光接收机构成的WDM系统模型的串扰和误码率。
The importance for actions recognition of the exact start time of sampling is proved then.
证明了精确起始时刻对于动作识别的重要性。
The results show the importance of the stability and smaller variance of the statistical characteristics of the atmosphere during the sampling.
实验结果表明，取样期间大气统计特性不变和小方差条件的重要性。
The importance of temperature measuring and sampling system in steel production is expatiated.
阐述了测温取样系统在钢厂生产应用的重要性。
We took into account the importance of this aspect in the design of algorithms model, and increased the efficiency of algorithm using the average sampling pixels.
我们在设计算法模型时考虑了这方面的重要性，利用像素点的平均采样提高了算法的效率。
Problems such as the high temperature, high dust content and corrosion during the gas analysing, and their solutions are listed to show the importance of gas sampling and pre-treating.
阐述烟气分析过程高温、高粉尘及腐蚀性的困难及解决方法，从而突出采样和预处理的重要意义。
The sequential importance re-sampling particle filter can abate the influence of particle degeneracy but will easily lead to another problem-sample impoverishment.
再采样粒子滤波虽可缓解粒子退化，但易导致样本贫化；扩展粒子滤波也可在一定程度上解决退化问题，但难以跟踪突变状态。
The sequential importance re-sampling particle filter can abate the influence of particle degeneracy but will easily lead to another problem-sample impoverishment.
再采样粒子滤波虽可缓解粒子退化，但易导致样本贫化；扩展粒子滤波也可在一定程度上解决退化问题，但难以跟踪突变状态。
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