Respiratory protective devices - methods of test - part 7 : determination of particle filter penetration ; german version en 13274 - 7 : 2002 呼吸保护装置.试验方法.第7部分:颗粒过滤器渗透性测
But the particle filter has also some drawbacks , such as particle degeneration and suboptimal proposal distribution 但是,粒子滤波也存在一些不足之处。例如,易出现粒子退化现象、提议分布无法达到最优等。
As other predictive filters , state space is recursively got from measure space with system model by using the particle filter 这种滤波和其他预测性滤波一样,可以通过模型方程由测量空间递推得到状态空间。
Research on nonlinear problems is very hot recent years , many methods are proposed and particle filter is the more outstanding one 近年来对非线性滤波问题的研究非常广泛,其中粒子滤波算法得到了更为广泛的关注。
The particle filter can resolve a problem on nonlinear and non - gaussian model , and has been applied successfully in many fields 它可以处理模型方程为非线性、噪声分布为非高斯分布的问题,在许多领域得到了成功的应用。
. respiratory protective devices . filters with breathing hoses , particle filters , gas filters and combined filters non - mask mounted filters . requirements , testing , marking 呼吸保护装置.带呼吸软管的过滤器粉尘过滤器瓦斯过滤器和组合过滤器
In this paper , research on particle filter algorithm for ballistic target tracking is carried on under the main background of nonlinearity , non - gaussian noise 本论文以非线性、非高斯噪声环境下的目标跟踪为主要背景,研究弹道导弹目标粒子滤波算法。
Finally , based on target dynamic model as well as image observation model , a tracking algorithm for multi mouse targets is proposed together with particle filter 最后在目标动态模型与图像观察模型的基础上,结合粒子滤波提出了针对多个鼠类目标的跟踪算法。
According to the key technique influencing the particle filter , a gassian mixture particle filter for non - rigid object tracking is presented 针对影响粒子滤波算法性能的关键技术，提出了基于混合高斯模型的粒子滤波算法，并将其用于基于颜色的非刚性目标的实时跟踪相关问题。
Furthermore , bhattacharyya distance is employed to estimate the similarity between the target model and each hypotheses of the particle filter , which makes the measurement matching and samples ' weight updating more reasonable 利用巴特查理亚距离描述粒子与目标颜色模型的相似性，作为粒子更新权值的有力依据。
