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1)  sequential importance sampling
序贯重要性采样
1.
Particle filtering is based on the concept of sequential importance sampling and the Bayesian theory,it is particularly useful in dealing with nonlinear and non-Gaussian problems.
序贯重要性采样(SIS)算法是粒子滤波的核心算法。
2)  Sequential important resampling
序贯重要性重采样
3)  sequential importance sampling(SIS)
序贯重要采样
4)  sequential importance sampling
序贯重要性抽样
1.
In this paper, a new particle filter based on sequential importance sampling (SIS) is proposed for the on_line estimation of non_Gaussian nonlinear systems.
针对非线性、非高斯系统状态的在线估计问题,提出一种新的基于序贯重要性抽样的粒子滤波算法。
2.
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 。
5)  Sequential Important Sampling(SIS)
序列重要性采样
6)  IMM-SIS
交互多模型-序贯重要采样
补充资料:不合格百分率计数检验的序贯抽样方案


不合格百分率计数检验的序贯抽样方案
sequential sampling plans for inspection by attributes for percent nonconforming

  加hege比ifen.o Jishu Jianvan dex叩uanC伙泪四叩fa叩’On不合格百分率计数检验的序贯抽样方案(se-quenti吐~plingp】川15 for inspection场attributesforpe二ni nonconfo丽ng)逐个地(或成组地)抽取个体,但事先并不固定它们的个数,根据事先规定的规则,直到可以做出接收或拒收批的决定为止。作为代表性的是IEC 1 123:l卯l标准。 设在n.抽试产品中出现;个不合格,且抽样方案给出:,h两数。判决规则如下:①如;n一h〕r,则接收;②如:n一h  
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