sequential importance sampling

常見(jiàn)例句

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.
針對(duì)非線性、非高斯系統(tǒng)狀態(tài)的在線估計(jì)問(wèn)題，本文提出一種新的基于序貫重要性抽樣的粒子濾波算法。
The sequential importance re-sampling particle filter can abate the influence of particle degeneracy but will easily lead to another problem-sample impoverishment.
再采樣粒子濾波雖可緩解粒子退化，但易導(dǎo)致樣本貧化；擴(kuò)展粒子濾波也可在一定程度上解決退化問(wèn)題，但難以跟蹤突變狀態(tài)。
A single Gaussian distribution is obtained to approximate the posterior distribution of state parameters based on sequential importance sampling and Monte Carlo methods.
通過(guò)基于重要性采樣和蒙特卡羅模擬方法得到一高斯分布來(lái)近似未知狀態(tài)變量的后驗(yàn)分布。