高斯模型与实验半方差变异函数的拟合效果最好，其次是线性模型。
The best fitted theoretical model for the semivariogram is Gaussian model, and then the linear model.
该算法可以直接应用于原系统的非线性模型当中，并且不需考虑系统噪声和量测噪声是否为高斯白噪声，都能得到很好的滤波效果。
It could be directly applied to the nonlinear model of the initial system, and could get good filtering result whether the system noise or measured noise was Gaussian or not.
粒子滤波算法由于其在非线性、非高斯模型中所表现出的优良性能，使得其越来越受到人们的重视。
Particle filter algorithm has shown its good performance in non-linear and non-Gaussian models and is paid more and more attention.
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.
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。
The Particle Filter can resolve a problem on nonlinear and non-Gaussian model, and has been applied successfully in many fields.
粒子滤波技术是近几年出现的一种非线性滤波技术，它适用于非线性系统以及非高斯噪声模型。
The particle filtering is a nonlinear filtering technology, which is suitable for the nonlinear system and non-Gaussian noise model.
该文从时域连续信号角度出发，按照高斯随机过程模型，分析了时钟抖动对基带和中频线性调频信号信噪比的影响并给出了近似公式。
Based on Gaussian random process model and continuous-time system in time domain, this paper analyzes the effect on baseband and intermediate frequency sampling due to clock jitter.
首先，将拦截器反导作战模型考虑为一类非线性、非高斯追逃拦截问题，建立了噪声环境中追逐-逃逸对策模型；
First, based on the consideration that the model for anti-missiles is a nonlinear and non-Gaussian problem, a model is built of guiding a missile towards an evading agile target in noisy environments.
首先，将拦截器反导作战模型考虑为一类非线性、非高斯追逃拦截问题，建立了噪声环境中追逐-逃逸对策模型；
First, based on the consideration that the model for anti-missiles is a nonlinear and non-Gaussian problem, a model is built of guiding a missile towards an evading agile target in noisy environments.
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