parameter estimation

Performance Analysis of Parameter Estimation Algorithm for LFM Signals using Quadratic Phase Function

基于QPF的LFM信号参数估计算法性能分析

The realization of minimum mean absolute error estimator in parameter estimation

参数估计中最小绝对值误差估计器的实现

On the basis of the results of the numerical calculation and the sensitivity analysis, the computer simulations of thermal parameter estimation for the concerned living tissue were conducted by using the improved Gauss Algorithm.

根据数值计算以及参数灵敏度分析的结果，采用改进的高斯方法，对生物活体组织的热特性参数估计进行了模拟计算及分析。

An abridged algorithm of 2 D hidden Markov chain model and its parameter estimation method are made.

针对现有的二维隐马氏模型算法给出了一种简化算法及参数估计方法.

The feasibility and validity of parameter estimation is a critical factor in environmental fate models.

大量的研究表明,参数估计方法的可行性和有效性,决定着环境归趋模型的成功与否.

A New Method of Parameter Estimation of Random Signals with ARMA Models

一种新的平稳随机信号功率谱估计法

Then two feasible Methods: To adjust the parameter estimation are presented.

然后给出了两种可行的参数估计修正方法.

On-line identification is a available way for synchronous machine parameter estimation.

目前解决同步电机参数辨识最有效的途径是在线辨识.

A line equation based on line parameter estimation algorithm is proposed in this paper.

提出一种基于长线方程的输电线路参数在线求解算法.

The optimal properties of its score function and parameter estimation based on the Bayes risk are discussed. It is shown that the asymptotic Bayes risk of Bayes quasi-likelihood estimation with auxiliary information decreases gradually with the increase of auxiliary information.

讨论了其估计函数和参数估计的最优性，证明了附加信息Bayes拟似然的渐近Bayes风险随着相依信息的增力。而逐步减少。

Baum-Welch algorithm is often made to optimize parameter in parameter estimation problem.

在参数估计问题中常常要用 Baum -Welch重估计算法来优化参数.

This parameter estimation method was introduced by combination of distribution hypothesis with robust statistics.

方法:结合分布假设和稳健统计给出了参数估计方法.

An optimal filtering algorithm for parameter estimation of bilinear time series model

双线性时间序列模型参数估计的最优滤波方法

The linear-moments distribution function was used due to its very good parameter estimation ability.

线性矩法具有良好的参数估计性能.

Parameter estimation for thermodynamic model of solution by using of genetic algorithm

应用遗传算法估算溶液热力学模型参数

The parameter estimation and its property are the focus of the linear model theory.

参数估计和估计的性质是线性模型理论的中心内容.

Traditional numerical methods for line parameter estimation in power systems require too many ideal conditions.

电力系统线路参数估计传统数值方法受到诸多限制.

Optimal sensor location for state estimation of nonlinear distributed parameter systems

非线性分布参数系统状态估计的最佳测量位置

Third, we propose a new remote sensing image fusion method based on statistical parameter estimation.

另外, 提出一种新的基于统计参数估计的遥感图像融合方法.

According to the statistic characteristic of covariance function, parameter estimation can be given for kernel function.

由协方差函数的统计特征，可给出核函数的参数估计。

Parameter estimation of measurement systems based on numerical differentiation

数值微分的测试系统参数估计

The parameter estimation problem in linear model is considered when multicollinearity and outliers exist simultaneously.

本文讨论复共线性和粗差同时存在时线性模型的参数估计问题.

The mathematical model and parameter estimation for the indirect calorimetry system are discussed in this paper.

主要涉及间接测热系统的数学模型及参数估计。

Questions related to genetic parameter estimation are: how to calculate variance explained by each detected QTL?

与遗传参数估计有关的一些问题包括QTL的贡献率是如何计算出来的?

A method for disturbance parameter estimation was presented based on the analysis of electrical parameters.

该文提出了基于电量参数分析的扰动参数估计方法.

High precision parameter estimation is very important to the control system design and compensation.

高精度的参数估计对于控制系统的设计和校正具有十分重要的意义.

The error in experimental determination of RTD derived from tracer pulse injection, digit time and response measurement, and flow model parameter estimation are discussed.

本文分析了用脉冲法注入示踪剂时示踪剂的分布、时间与应答信号的测量，以及模型参数的回归等方面的种种误差。

On Parameter Estimation of the Model of Exponential Growth in Price Law

论普赖斯指数增长模型参数的估计&兼与刘莉同志商榷

In this thesis, the modeling methods applying particle filter is investigated based on the existed theory of time-varying parameter estimation.

本文在系统学习现有时变参数建模相关理论的基础上，系统研究了基于粒子滤波的建模思想和基本方法。

The Bayes rule for minimum error and supervised parameter estimation for Gaussian mixture are used to solve the problem of threshold selection and get a good experimental result.

对于特征差值图像阈值选取问题，则采用基于最小错误率的贝叶斯准则结合正态分布的监督参数估计进行处理，在实践中获得了较好的效果；