粒子滤波（PF）是近年来兴起的一种最优非线性滤波方法。
Particle filter (PF) is an optimal nonlinearity filtering method which rises in recent years.
本文提出了一种空间拦截弹的最优制导和非线性滤波方法。
An optimal guidance and nonlinear filtering method for space interceptor is presented in this paper.
目前在信息融合领域广泛使用的融合算法是卡尔曼滤波，它在线性高斯模型下能得到最优估计，但在非线性非高斯模型下则无法应用。
The Kalman Filter is widely applied in the Information Fusion at the present, which can get the optimal estimate in the Linear-Gaussian model, but not applied in the nonlinear and non-Gaussian model.
首先非线性堆滤波器用于求出图象某象素点邻域内的灰度最大值与最小值的最优估计，然后以此两估计值之差代替原象素点灰度值。
First, nonlinear stack filter is applied to estimate the maximum and minimum of noise-free image's gray scale value in a local region.
首先非线性堆滤波器用于求出图象某象素点邻域内的灰度最大值与最小值的最优估计，然后以此两估计值之差代替原象素点灰度值。
First, nonlinear stack filter is applied to estimate the maximum and minimum of noise-free image's gray scale value in a local region.
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