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1·This paper trys to use the importance sampling method.

在本文中，尝试使用重要抽样方法。

2·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。

3·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。

4·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。

5·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。

6·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。

7·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。

8·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。

9·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。

10·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。