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1)  self-adjust particle filter
自调整粒子滤波
1.
In this paper, a self-adjust particle filter is proposed to improve the stability of the filter.
该文针对这一问题,提出一种自调整粒子滤波方法,根据观测噪声的统计大小,自适应调整似然分布的形状,使之与先验分布重叠的区域更大,有效提高滤波稳定性。
2)  adaptive particle filter
自适应粒子滤波
1.
A simplified adaptive particle filter was proposed based on the K-L sampling to overcome the drawback of computational burden in the traditional adaptive particle filter.
针对传统自适应粒子滤波算法的计算负荷太大问题,在Fox的K-L距离采样的基础上,给出一种新的求解k值的方法,将k值的计算从采样过程中分离出来,大大降低算法的复杂度,减少计算量,避免死循环发生。
2.
In this paper,an adaptive particle filter for tracking application is proposed,which is based on tuning particle number and sampling interval.
文章提出了一种用于跟踪系统的可在线调整采样周期和粒子数目的自适应粒子滤波器。
3.
In this paper, an adaptive particle filter for tracking application is proposed, which is based on tuning particle number and sampling interval.
本文提出了一种用于跟踪系统的可在线调整采样周期和粒子数目的自适应粒子滤波器。
3)  bootstrap particle filtering
自举粒子滤波
4)  wave-filtering adjustment
滤波调整
1.
Based on the running urban buses as the dynamic data units,the real-time running-state data of city buses are acquired,the bus before-head time spans are computed and the traffic flow velocity analyzed;the velocity forceast by wave-filtering adjustment is compared with the actually measured velocity;a four-grade service level real-time evaluation and forceast syst.
利用城区道路上的公交车为数据动态采集单元,智能采集公交车实时运行状态数据信息,计算公交车车头时距、分析车流速度,对滤波调整预测速度与实际速度进行对比分析,建立以行车速度、行程时间、拥挤程度为评价指标的城市道路四级服务水平实时评价与预测系统。
5)  particle filter
粒子滤波
1.
Dynamic contour tracking of medical images based on improved particle filter;
基于增强的粒子滤波算法的医学图像动态轮廓跟踪新方法
2.
Application of Gaussian mixture particle filter in initial alignment for strapdown inertial navigation system on stationary base;
高斯混合粒子滤波器在静基座捷联惯导系统初始对准中的应用
3.
Performance analysis and improvement of particle filter algorithm;
粒子滤波算法的性能分析与改进
6)  Particle filtering
粒子滤波
1.
Amplitude information based particle filtering for passive tracking of maneuvering target;
结合幅度信息的粒子滤波机动目标被动跟踪
2.
Algorithm and Simulation of the Particle Filtering Based on Terrain-Aided Navigation for the Intermediate Guidance of Cruise Missile;
基于粒子滤波的巡航导弹中制导地形匹配算法和仿真
3.
AdaBoost tracker embedded in particle filtering;
嵌入粒子滤波中的AdaBoost跟踪器
补充资料:自适应卡尔曼滤波
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性质:在利用测量数据进行滤波的同时,不断地由滤波本身去判断系统的动态是否有变化,对模型参数和噪声统计特性进行估计和修正,以改进滤波设计,缩小滤波的实际误差。此种滤波方法将系统辨识与滤波估计有机地结合为一体。

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