查询词典 parameter estimation

First discarding the thought of fitting by AR model, the ARMA model is fitted by a high order MA model using Gevers-Wouters algorithm on the basis of related functions of ARMA model. Then according to the parameters of the fitted MA model, the ARMA model parameter estimation through solving a system of antipathic linear equations using the least squares method is obtained.

首先摈弃传统的拟合到AR模型的思考方法，而是基于ARMA模型的相关函数用Gevers-Wouters算法对ARMA模型拟合到高阶滑动平均模型；然后在拟合的MA模型参数基础上，用最小二乘算法求解一个不相容的线性方程组，从而估计出ARMA模型参数。

Moreover, the mean-square tracking error can be made arbitrarily small by choosing some design parameters appropriately. Even with unmodeled dynamics and bounded disturbances presented the controller has good robust performance without need of correct dynamic model and parameter estimation.

并且这种控制器的设计不需要有精确的系统动态模型，不需要未知参数来满足线性依赖条件，不需要具体的系统参数估计，即使存在未建模动态和有界扰动，系统仍然具有很好的鲁棒性。

The existence of mutual coupling in a planar array mutual coupling parameter estimation methods.

详细说明：存在互耦的平面阵的一种互耦参数估计方法。

So this paper proposed joint Kalman filter by incorporating the unknown model parameters into augmented state transition matrix to avoid the special parameter estimation process, which reduced the size of calculation as well as improved the processing gain.

为此，提出将未知参数合并到增广状态矩阵的联合卡尔曼滤波方法，避免了专门的参数估计过程，在提高增益性能的同时有效降低了计算量。

Based on Hankel's matrix method and augmented least square recursive algorithm,the paper features the recursive least squares method of nonlinear parameter estimation with forgetting factor by introducing the constraint indicator of ...

依据Hankel矩阵法，在参数估计准则函数中加入待估参数的增量约束项和遗忘因子，并结合增广最小二乘递推算法，提出一种具有遗忘因子的非线性参数估计的递推最小二乘法。

New parameter estimation Markov recursive algorithm for continuous stochastic linear system and bilinear system is proposed.

基于小波变换的连续随机线性和双线性系统参数辨识Markov方法分析研究了连续维纳过程在小波变换下的统计特性，给出了维纳过程的离散小波变换系数所构成的离散随机过程的协方差矩阵计算和估计方法，基此提出了线性和双线性连续随机系统参数辨识的Markov估计方法及其递推算法。

Objective Discuss the accuracy of sample size determination involving binormal ROC parameter estimation.

目的 探讨ROC双正态样本量估计方法的准确性。

A new non-linear quadratic programming Bayesian prestack three-terms inversion method is developed; Firstly, this method is based on Bayesian parameter estimation theory, Gaussian distribution is used for likelihood function and modified Cauchy distribution is used for prior distribution; Secondly, covariance matrix is used to describe the degree of correlation between the parameters; rock physics relations are used to constrain the inversion results; at last, this method is transformed into non-linear quadratic programming problem, and inversion results are acquired under several constraints.

本文提出了一种基于非线性二次规划的叠前三参数反演方法。首先基于贝叶斯参数估计理论，假设似然函数服从高斯分布，并使待反演的参数服从于改进的Cauchy分布，从而提高了反演结果的分辨率；其次用协方差矩阵来描述参数间的相关程度，进一步提高了反演结果的稳定性；最后将问题转化为一个非线性二次规划的求解问题，并在多种约束下得到问题的解。

Four important conclusions were drawn. First, the CMLE method is the most suitable pro-cedure for parameter estimation in 1-parameter model. Second, the test construction of TIPS guided by classical test theory will not be valid for obtaining reliable measures. Third, the systemmatic ICC presenting method presented the perfect item and ability latent traits for the results in CMLE findings. Fourth, the complicated analysis of reliability coefficient and likeli-hood parameters met the precise and accurate measures of latent traits in either integrated process skills or hypothesizing skills.

本研究四项主要结论如下：一是CMLE确为分析试题潜在结构的量化模式，本文之精心分析过程及分析技术本身即为重要的测验资料分析规范；二是TIPS全卷及试题与原始之评量目标对应关系并未如古典测验理论之分析结果；三是各试题之表徵曲线图示法，显示在同一难易度鉴别度下，CMLE估计法分析确实显现高、中、低能力群之试题及能力特质；四是由信度系数及概度参数分析精准地显示了全卷及形成假说技能之试题参数之潜在特质。

A motion tracking model based on the Mumford-Shah segmentation model and a parameter estimation method based on the level set value is proposed to track the motion of the heart mitral valve and estimate its motion parameter.

5提出了基于M-S模型的运动目标检测方法和一种基于水平集函数值的参数估计方法，并应用于心脏超声图像二尖瓣膜的运动检测。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。