Employing the fundamental principle of linear filter model, an improved simulation method is developed based on a high-order filter model for randomly undulatory sea surface.
根据线性滤波器模型的基本原理，提出了一种改进的基于高阶滤波器的随机起伏海面仿真方法。
The thermal imaging system can be regard as a linear filter and its static performance model can be established by optical Fourier analytical method.
利用光学傅立叶分析的方法可以把热成像系统看作线性滤波器，并建立热成像系统的静态性能模型。
Image is restored which is blurred by the known linear model and noise, with the method of frequency-domain regularized inversion and wavelet-domain wiener filter denoising.
采用频域正则化求逆和小波域维纳滤波去噪的方法对已知线性降晰模型的含噪图像进行图像复原。
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.
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。
Theoretical model was described considering both flow-resistance and water column of filter and container, and analytical solution was gained under linear flow-resistance.
建立了同时考虑针的流阻和滤头及容器内水柱影响的渗流分析模型，并得到线性流阻下地基渗透系数与容器内压力的解析关系。
It is infeasible to use linear adaptive filter to create nonlinear model.
用线性自适应滤波器对非线性对象建模是不可行的。
The optimal moving average filter for the linear stochastic controlled plant is developed from the viewpoint of the internal model of the deterministic disturbance.
从确定性干扰的内模观点导出了适用于线性随机受控对象的最优滑动滤波器。
The results show that in the simulation of non-linear system model, this framework for Bayesian predictive filter can implement the tracking of simple motion and the orientation prediction.
实验结果表明，在非线性系统模型的仿真中，贝叶斯预测滤波框架能够较好的实现对简单物体运动的跟踪和方位的预测。
According to the equivalent circuit model of non-linear load, a detecting approach of harmonic current in single-phase circuit based on fast iterative algorithm in active power filter is proposed.
根据非线性负载的等效电路模型，提出了一种基于快速跟踪算法的有源电力滤波器单相电路谐波电流检测方法。
A stable quantitative model is provided for a developed filter-based near infrared detection instrument by using a multiple linear regression algorithm to select the optimal quantitative wavelength.
在自主研发的滤光片型近红外检测仪上通过用多元线性回归算法选择最优定量波长，为仪器提供了稳健的定量模型。
A stable quantitative model is provided for a developed filter-based near infrared detection instrument by using a multiple linear regression algorithm to select the optimal quantitative wavelength.
在自主研发的滤光片型近红外检测仪上通过用多元线性回归算法选择最优定量波长，为仪器提供了稳健的定量模型。
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