1) Sequential important resampling
序贯重要性重采样
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 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) importance sampling
重要性采样
1.
Face tracking algorithm based on particle filter with mean shift importance sampling;
基于均值移动重要性采样的粒子滤波人脸跟踪算法(英文)
2.
A 3D model remeshing algorithm based on circular parameter domain and importance sampling is proposed in this paper.
给出了一个基于参数化和重要性采样的网格重建算法。
3.
To solve the important problem in particle filter that how to design the importance sampling function to propagate the particles, a novel particle filter based on observation likelihood importance sampling was proposed.
针对粒子滤波中如何来设计重要性采样函数进行动态粒子传播这个重要问题,提出了一种新的基于观测似然重要性采样的粒子滤波算法,该算法打破了常规粒子滤波先按某一重要性采样函数进行采样,再用观测似然进行粒子权重更新的思路,而是直接根据观测似然进行采样,然后再用先验转移概率进行粒子权重更新。
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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