1) mixture of particle filter
混合粒子滤波器
1.
In the mixture of particle filters,the existence of each tracked target is detected by using the sequential likelihood ratio test estimated by the output of the component particle filter.
针对可变数量的多个红外弱小目标的检测与跟踪问题,提出了基于混合概率密度模型的多目标先跟踪后检测方法,开发了一种t分布混合粒子滤波器。
3) hybrid annealed particle filter
混合退火粒子滤波
1.
Simulation of SINS transfer alignment based on hybrid annealed particle filter;
混合退火粒子滤波针对非线性、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。
4) hybrid system particle filter
混合系统粒子滤波
1.
At the state estimation stage,the algorithm estimates the posterior distribution of the states and parameters of the system fault progression model based on hybrid system particle filter and dual estimation.
在算法的状态估计阶段,采用混合系统粒子滤波和二元估计算法同时估计对象系统故障演化模型混合状态和未知参数的后验分布。
5) particle filter
粒子滤波器
1.
Non-rigid target tracking based on genetic algorithm and particle filter;
基于遗传算法和粒子滤波器的非刚性目标跟踪
2.
Indoor mobile robot self-location based on particle filter;
基于粒子滤波器的室内移动机器人自定位
3.
An improved unscented particle filter for target tracking in sensor networks;
一种改进的无迹粒子滤波器在目标跟踪中的应用
6) particle filtering
粒子滤波器
1.
An overview of the status and development of research on particle filtering is presented.
粒子滤波器是基于序贯M onte Carlo仿真方法的非线性滤波算法,本文对粒子滤波器的研究现状和研究进展做了综述,详细论述了粒子滤波原理、收敛性、应用及进展。
2.
For state estimation of hybrid system with unknown transition probabilities,an adaptive estimation algorithm is proposed based on Monte Carlo particle filtering.
当模型转移概率未知的时候,本文基于Monte Carlo粒子滤波器给出了混合系统状态估计的一种自适应算法。
补充资料：WZ型无重力粒子混合机
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条