利用码间串扰量的度量准则，对不同的成形滤波函数研究了插值滤波器的参数优化估计及其抗时钟抖动性能。
By using the measure criterion of intersymbol interference, the parameter optimization and robustness of timing jitter of interpolation filter for a few kinds of shaping functions has been studied.
本文基于智能技术和PC技术，开发了一种电气参数动态估计和能量优化方法。
Based on artificial neural network technology and PC technology, a dynamic estimation method of EAF electric parameters is presented.
针对利用导弹引信多普勒频率数据求取脱靶量的问题，提出了一种非线性最小二乘优化参数估计方法。
In regard of evaluating miss distance of using missile fuze Doppler spectrum data, a optimizing parameter estimated method of nonlinear least square is put forward.
建立了相机畸变的数学模型，并通过迭代优化算法估计相机的畸变参数。
The camera distortion model is builded and the distortion parameters can be estimated by iterative optimal algorithm.
提出一种非线性离散动态大系统系统优化与参数估计集成的关联平衡协调算法。
In this paper, an interaction balance coordination algorithm of integrated system optimization and parameter estimation for nonlinear discrete dynamic large scale system is introduced.
并用非均匀采样系统建模及优化方法对实际病例进行参数估计和分析。
Some nonuniform sampling methods of modelling with optimizing are applied to estimate system parameters and analyse some practical cases.
采用加权的均方误差准则来优化估计模型的参数，实现对测量序列的抗扰最佳估计。
To obtain the best estimation of anti-jamming for measured series, the rule of weighted-square error is introduced to optimize the parameters of estimating model.
提出了用混沌模拟退火法估计非线性马斯京根模型参数的优化算法。
This paper presents an optimization algorithm based on chaotic simulated annealing algorithm, which is used to estimate the parameter of Nonlinear Muskingum model.
为大履刺履带的下陷估计和参数优化提供依据。
The study provides a reliable basis for the estimation of sinking and the parameter optimization of big track shoe.
在研究测量误差分析、模型误差统计检验、变形分析、可靠性分析和优化设计等问题中，经常需要对统计量分布的非中心参数进行估计。
The noncentral parameter of statistic distribution often needs to be estimated in error analysis, statistical test, deformational analysis, reliability analysis, and optimum design, etc.
本文研究了GPS高程拟合时对所建立的数学模型进行参数优化选择和稳健估计。
This paper discusses the problems of optimizing parameters and robust estimation for GPS height fitting.
模型参数用非线性规划的最优化方法进行估计，得到了计算液相当量混合系数的无因次回归方程。
The model parameters are estimated by the optimal method of nonlinear programming, and the equivalent mixing coefficient is regressed in a dimensionless equation.
在历史洪水存在不确定性情况下，以概率权重矩法估计的参数稳健性优于优化适线法。
Moreover, under the situation of uncertainties in large historical flood, the quantities estimated by probability weighted moments may be more robust than those by a optimal curve fitting method.
应用分析表明，这是进行有谱广义平稳随机过程参数估计的一种有效的优化方法。
The analysis to its application indicates that this is an effective optimized method to parameter estimation of the rographic generalized stationary random process.
提出一种优化径向基函数神经网络来波方位(DOA)估计模型结构和参数的方法。
A novel algorithm for optimizing the structure and parameters of Direction of Arrival (DOA) estimation model based on radial basis function neural network is presented.
然后，在基于顾客满意的基础上，对顾客质量成本给出了参数估计，并提出了优化设计的方法。
Based on customer satisfaction, we offer the functions of quality cost, and make the parameter estimation.
仿真实验结果表明：新的仿真方法改善了仿真数学模型的形式，并且利用经验值估计区间的参数优化法大大地提高了运算效率。
The simulation results express that the new simulation method improves simulation mathematical model, and the estimate zone method enhances the operation efficiency.
为了使作物生长模型中的参数最优化，提出了一种改进型非线性最小二乘法在作物生长模型中隐含参数估计的应用技术，针对多目标项的情况提出了权矩阵的自动计算方法。
In order to optimize the parameters in a crop growth simulation model, a new method based on nonlinear least squares method was developed for estimation of hidden parameters of crop growth.
构建良好的作物生长发育模型，不但可以预测作物在不同的环境条件下模型参数大多需要重新估计和优化。
Build a good crop growth and development model, not only can predict the crop in different environmental conditions, most need to re-estimate the model parameters and optimization.
本文提出了一种多个三维刚体运动的匹配和估计算法，将对应点匹配和运动参数估计结合在一起，转化为代价函数的最优化过程。
This paper presents a matching and estimation algorithm for 3-d rigid body motions, integrating the procedures of the point match and motion estimation into a global optimization process.
本文提出了一种多个三维刚体运动的匹配和估计算法，将对应点匹配和运动参数估计结合在一起，转化为代价函数的最优化过程。
This paper presents a matching and estimation algorithm for 3-d rigid body motions, integrating the procedures of the point match and motion estimation into a global optimization process.
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