A nonlinear filter method is discussed with broad sense BP neural network theory in the integrated navigation system.
探讨了采用广义BP神经网络理论来进行组合导航定位数据的非线性滤波方法。
In this paper a method of parameter estimation for nonlinear system is proposed by applying the extended Kalman filter and more satisfactory results are obtained.
本文提出了一种应用推广卡尔曼滤波器来估计非线性系统参数的方法，井获得了较为满意的结果。
This paper presents an adaptive fault prediction method based on strong tracking filter, which can predict faults in a class of nonlinear time varying systems.
本文提出了一种基于强跟踪滤波器的自适应故障预报方法，能够对一类带时变参数的非线性系统进行故障预报。
This algorithm changes the form of nonlinear filter, and denoises the image by combining with the method of total variation minimization.
该算法改变了原算法中非线性滤波的方式，并结合总变分最小化方法对图像进行降噪处理。
The Predictive Filter is an estimation method based on nonlinear system model, which determines the optimal model error using a one-step ahead control approach to provide accurate state estimations.
预测滤波器是一种基于非线性系统模型的滤波方法，它通过使输出一步前向预测误差最小来估计模型误差，具有较高的估计精度。
Unscented Kalman filter(UKF) is a new nonlinear filtering method which does not linearize the equations thus avoiding the error due to the linearization.
不敏卡尔曼滤波（UKF）是一种新的非线性滤波的方法，它能减少线性化截断误差对系统定位精度的影响。
Based on three-dimensional space, a new method for the nonlinear Kalman filter using the radial velocity is presented.
提出了在三维空间中引入径向速度的非线性卡尔曼滤波算法。
In this paper, a design method for nonlinear diffusion filter is proposed.
该文给出了一种非线性异性扩散滤波器的设计方法。
According to the giving wave spectrum, the coefficient of nonlinear wave filter is gotten by the method of stochastic averaging.
应用随机平均法，根据所给定的波浪谱确定滤波器参数。
According to the giving wave spectrum, the coefficient of nonlinear wave filter is gotten by the method of stochastic averaging.
应用随机平均法，根据所给定的波浪谱确定滤波器参数。
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