A thesaurus-based model for organizing information contains the most structure and provides the greatest search and filter capabilities.
基于辞典的信息组织模型包含最多的结构，并提供最强的搜索和筛选功能。
Based on the classical total variation restoration model, we design a new nonlinear algorithm of digital TV filter for image de-noising.
根据经典总体变差恢复模型，设计了一种新型的应用于图像去噪的数字TV滤波器的一种算法。
Based on building up a model of echo canceller, the convergence of gradient-type stochastic adjustment algorithm of an adaptive filter under the mean-squared error criterion is discussed.
在建立回波抵消器模型的基础上，按最小均方误差准则，导出了自适应滤波器抽头的统计梯度算法和抽头调节的收敛公式。
A mathematical model based on the distillation data of diesel components was developed to predict the cold filter plugging point and solid point of the blended diesel fuels.
建立了一种以柴油组分油的恩氏蒸馏数据为基础的数学关系式，用于预测柴油调合油的冷滤点及凝点。
This paper introduces the theory and characteristics of federated filter based on multi model adaptive estimation.
本文介绍一种基于多模自适应估计的联邦滤波器的原理和特点。
The paper sets up a time sequence model of laser gyro random error and processes the drift data by Kalman filter based on the model.
在对激光陀螺漂移数据建立时间序列模型的基础上，对激光陀螺的漂移数据进行了卡尔曼滤波。
Based on the exponential trend model, the Kalman filter model is applied to forecasting displacement values at observation point in Lianziya hazardous rock mass GA.
以指数趋势模型为基础，建立卡尔曼滤波模型对链子崖危岩体ga监测点的位移量进行预测。
Based on the conception of the discrete modal filter, a force identification model is proposed to emend the classical modal model method.
基于模态滤波器概念提出了对载荷识别模态模型法的原理性校正方案，构造了动载荷识别的离散模态滤波器模型。
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。
Based on the Kilman filter theory and Muskingum method, the half self adaptive updating Kilman filter model of channel flow routing has been developed for real time application of flood forecasts.
提出和讨论了基于马斯京根流量演算河道洪水实时预报的半自适应滤波模型。
The face motion could be estimated by using face skin color model integrated with feature based object recognition technique and extended Kalman filter.
以人脸肤色模型为基础，结合目标形状特征识别方法，并用扩展卡尔曼滤波估计目标运动轨迹，实现基于肤色的人脸实时跟踪鲁棒方法。
An extended Kalman filter with adaptive gain was used to build a miniature attitude and heading reference system based on stochastic model.
利用改进的自适应增益卡尔曼滤波器在随机模式下建立一个小型姿态确定系统。
Then a kind of SAR image filter method based on annealing and iterated filter is proposed, which describes image local property by correlated neighbourhood model.
然后提出基于模拟退火的迭代滤波器的SAR图像滤波方法。这种方法通过引入相关邻域模型，描述图像的局部特性。
In the application of secure information systems, the traditional role-based access control model can not filter business data for users, which easily results in secret data leakage.
在安全信息系统应用中，传统的基于角色的访问控制模型不能为用户过滤业务数据，容易导致数据失密。
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。
Considering the character of vector observation, a real time predictive filter based on minimum model error (MME) criterion is presented for satellite attitude estimation.
结合矢量观测的特点，基于最小模型误差准则给出了一种确定卫星姿态的实时估计算法，称为预测滤波算法。
In this paper, an algorithm of normalized parametric adaptive matched filter based on time-varying autoregressive model is introduced.
文中介绍了一种基于时变自回归模型的归一化参数自适应匹配滤波算法。
Kalman filter of the kind of equations was calculated with T-SFIMMA algorithm based on adaptive Kalman filter algorithm of T-S fuzzy model, realize the tracking and automatic switchover of models.
对各方程序卡尔曼滤波，通过T -SFIMMA算法进行基于T - S模糊模型的自适应卡尔曼滤波计算，实现系统模型的实时跟踪与自动转换。
Based on an analysis of the equivalent circuit of the two-pole SAW filter with double-mode resonator, a formation-parameter model is advanced for the on-computer optimization of its design.
分析了声表面波双模谐振二极滤波器的等效电路，提出了利用计算机优化方法设计该滤波器结构参数的模型。
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。
When estimating the target state, particle filter is adopted, and the observation model is designed based on the adaptive appearance model.
在估计目标状态时，采用了粒子滤波算法，设计了基于自适应表面模型的观测模型；
Through linearizing nonlinear vehicle model, vehicle side-slip Angle estimation algorithms based on generalized Kalman filter and generalized Luenberger observer are formulated.
用非线性车辆模型线性化方法，设计了基于广义卡尔曼滤波器和广义龙贝格观测器的质心侧偏角估计算法。
A novel model based on free node spline function is put forward to improve the design of the polynomial least square filter.
提出了利用自由节点样条函数来改善多项式最小二乘滤波器设计的模型和方法。
This algorithm overcomes the weakness of the FIMM with low estimation accuracy and the limitations of the adaptive filter based on the "current"statistical model.
该算法克服了模糊交互多模型算法精度较低和当前统计模型自适应滤波器方差调整有限的缺点。
Moving areas about human are segmented by using hybrid Gaussian model as background, tracked by Kalman filter, and recognized by using a color-based model.
用混合高斯模型得到运动人体的区域，通过卡尔曼滤波对人体进行跟踪，并利用人体的颜色信息进行识别。
In this paper, a Chinese isolated word recognition system is established based on the source-filter generation model combined with the acoustic characteristics of whispered speech.
本文根据耳语音信号发音模型，结合耳语音的声学特性，建立了一个汉语耳语音孤立字识别系统。
Adaptive Kalman filter algorithm study (1) Based on the study of the passive target tracking in modified polar coordinates, the nonlinear dynamic model is devised.
自适应滤波算法(1)研究了极坐标系下的水下目标被动跟踪问题，建立了被动跟踪的动力学模型。
Considering the radiation problem of filtering resulting from the inaccurate model of the Kalman filter, data fusion algorithm based on the fuzzy Kalman filter is advanced.
并针对卡尔曼滤波因模型不准确而导致的滤波发散问题，提出了模糊卡尔曼的数据融合算法。
RCS reconstruction filter of high resolution SAR image based on a modified correlated neighborhood model is presented in this paper.
提出了一种基于改进相关邻域模型的SAR图像RCS重构滤波器，特别对高分辨率的SAR图像具有很好的去斑效果。
RCS reconstruction filter of high resolution SAR image based on a modified correlated neighborhood model is presented in this paper.
提出了一种基于改进相关邻域模型的SAR图像RCS重构滤波器，特别对高分辨率的SAR图像具有很好的去斑效果。
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