1) IMM-SIS
交互多模型-序贯重要采样
2) 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。
3) sequential importance sampling(SIS)
序贯重要采样
4) Sequential important resampling
序贯重要性重采样
5) 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 。
6) Sequential Important Sampling(SIS)
序列重要性采样
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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参考词条