搜索资源列表
programs-for-data-analysis
- 数理统计相关程序，包括求个参数的极大似然估计、分析收敛速度、检验假设、分析有限样本性质、随机数生成筛选抽样、分析相合性-Mathematical statistics related procedures, including the estimation of the parameters of the maximum likelihood estimation, analysis of convergence rate, test assumptions, analysis of the f
Jidasiran_vs_Triangle
- 极大似然算法和三边定位算法的定位图，误差比较以及锚节点数对于定位算法的影响。-Maximum likelihood algorithm and trilateral localization algorithm locator map error comparison and anchor nodes for localization algorithm impact.
MLE(simulation)
- 极大似然估计定位的编程实现，误差分析，节点数仿真等，比较全面，适合初学者-Maximum Likelihood Estimation targeted programming, error analysis, simulation, and other nodes, a more comprehensive, suitable for beginners
Desktop
- 递推极大似然法 递推极大似然法 递推极大似然法-Recurision maximum likelihood method Recurision maximum likelihood methodRecurision maximum likelihood methodRecurision maximum likelihood method
f_estimator
- 关于单频信号测频的一种极大似然估计的快速方法- For quick single-frequency signal frequency measurement method a maximum likelihood estimators
ML
- 最大似然法（Maximum Likelihood，ML）也称为最大概似估计，也叫极大似然估计，是一种具有理论性的点估计法，此方法的基本思想是：当从模型总体随机抽取n组样本观测值后，最合理的参数估计量应该使得从模型中抽取该n组样本观测值的概率最大，而不是像最小二乘估计法旨在得到使得模型能最好地拟合样本数据的参数估计量。-Maximum likelihood method (Maximum Likelihood, ML), also known as maximum likelihood estim
Estimation-the-interval-of-MTBF
- MTBF的区间估计，采用极大似然进行估计。-Estimation the interval of MTBF
weibull-distribution
- 可靠性分析，weibull分布极大似然参数估计和曲线拟合-reliability analysis，weibull distribution
expFenbu
- 指数分布极大似然估计法进行参数估计和曲线拟合-exponential distribution MLE
System-identification-code
- 系统辨识理论的代码，包括最小二乘法、极大似然法、神经网络辨识算法、梯度算法-System identification theory code, including the method of least squares, maximum likelihood method, neural network identification algorithm, gradient algorithm
JDSRGJ
- 此程序是基于按极大似然估计的系统辨识程序，是在MATLAB环境下编写的-This procedure is based on maximum likelihood estimation system identification program is written in MATLAB
matlabmle
- matlab中使用极大似然估计时运用的程序语言，希望对你有所帮助-matlab use maximum likelihood estimation when using programming languages, I hope for your help
RML
- 这里面是递推极大似然估计算法的程序，主要用于系统辨识，非线性系统建模以及系统工程领域方面。-There is a recursive maximum likelihood estimation procedure, the main aspects of the system for identification, nonlinear system modeling and system engineering.
u1
- 用matlab做的贝叶斯估计、极大似然估计的code-Bayesian estimation and maximum likelihood estimation of code using MATLAB
EMSeg
- EM 算法是求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。-Expectation Maximization image segmentation Input: ima: gr
TOA_LMS.m
- 基于TOA的定位编程，采用极大似然法借助多个基站与终端之间距离进行定位-Positioning programming based on TOA, using the maximum likelihood method with a number of base stations to achieve the positioning of the distance information.
System-Identification
- 系统辨识最小二乘法 梯度校正参数估计法 极大似然参数估计法 多变量系统参数估计-System Identification Least Square Method Gradient Correction Parameter Estimation Maximum Likelihood Parameter Estimation Multivariable System Parameter Estimation
EM_GMM-master
- 基于matlab下的无监督数据的实现，通过极大似然估计和贝叶斯估计-Implementation of unsupervised data based on MATLAB, by using the maximum likelihood estimation and Bias estimation
MLR
- 基于空域滤波的极大似然比、广义极大似然比、四阶累积量的广义极大似然比水下目标检测算法-Based on spatial filtering of the maximum likelihood ratio, the generalized maximum likelihood ratio, generalized maximum likelihood ratio of fourth-order cumulant underwater target detection algorithm
RSSIerror
- 利用RSSI测距，用极大似然估计定位，定位误差与锚节点个数间的关系-Using RSSI ranging, with maximum likelihood estimation, the relationship between the positioning error and the number of anchor nodes