片语

Bayesian Importance Sampling贝叶斯重要性采样

efficient importance sampling高效率重要性抽样技术

improved importance sampling method重要度抽样法

sequential importance sampling序贯重要性采样

Adaptive Importance Sampling自适应重要抽样

Multiple Importance Sampling多重采样

importance sampling plan重要性抽样法

Annealed importance sampling退火重要性采样

Modified Importance Sampling修正的重要度采样

英汉例句

• The technique of importance sampling is an active area in the development of reliability analysis.

  重要抽样技术是结构可靠度分析活跃的发展方向之一。

• 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。

• 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。

• This paper trys to use the importance sampling method.

  在本文中，尝试使用重要抽样方法。

• 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。

• 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。

• 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。

• 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。

• 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。

• 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。

• 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。

• 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。