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amethodforidentification
- 递推的极大似然法辨识程序 用递推的极大似然法对系统辨识的参数集 -recurrence of maximum likelihood method recursive identification procedures used by maximum likelihood method of system identification parameter sets
dtdt
- 用递推的极大似然法对系统辨识(递推的极大似然法辨识程序)希望通过站长审核-recursive use of the maximum likelihood method of system identification (recursive maximum likelihood method identification procedures) through head of audit
Recursive_Likelyhood_Estimate
- 用matlab编写的递推的极大似然辨识程序
FLch5RMLeg2
- flch5rmleg2.m递推的极大似然法辨识程序
ML
- ％极大似然方法 gcn为高斯有色噪声！！！比较不同点
递推的极大似然法辨识程序
- matlab在系统辨识中的应用此处为递推的极大似然法应用的源代码及运行后结果（包括图像）-Matlab system identification in the application of recursive here Maximum Likelihood of the application's source code and running after the results (including images)
dingwei.zip
- 无线传感器网络中的三边定位法和极大似然估计法定位，以及二者的误差分析,Wireless sensor networks trilateral positioning method and maximum likelihood estimation positioning, and error analysis of both
matlab-mle
- 主要是介绍极大似然估计并用matlab实现极大似然估计-Is to introduce the maximum likelihood estimation and use matlab to achieve maximum likelihood estimation
emgmm
- 本程序是EM算法，是参数估计（极大似然估计）方法的数值解法。-This procedure is the EM algorithm, is the parameter estimation (MLE) method of numerical solution.
m12_4
- 动态模型参数的极大似然辨识及其MATLAB实现范例-Dynamic model parameters of maximum likelihood identification and implementation examples of MATLAB
ModelIdentification
- 关于模型辨识的MATLAB仿真源码。有使用最小二乘的建模，有极大似然估计建模的方法。每个重点例句都有详细的解释。-On the MATLAB simulation model of source identification. Modeling the use of least squares, and maximum likelihood estimation method of modeling. Each key has a detailed explanation of examples
111
- 极大似然法，估算已知结点的位置，求出误差-Maximum likelihood method to estimate the location of known nodes, find the error
code2009
- 利用极大似然估计算法实现瞬时频率估计，主要采用c++语言实现-with the maximum likelihood estimation ，get instant frequence，it over with C++ code
MLE
- 极大似然估计是概率论中的重要思想，阅读此文献可以帮助我们了解极大似然估计的含义-Maximum likelihood estimation is important in probability theory thinking, reading this literature can help us understand the meaning of maximum likelihood estimation
experiment1
- 模式识别实验验程序 极大似然估计和Fisher线形判别分析-Experimental test procedures for pattern recognition maximum likelihood estimation and Fisher linear discriminant analysis
jidasiran
- matlab实现极大似然估计法定位无线传感器网络节点。-matlab maximum likelihood estimation method to achieve positioning of wireless sensor network nodes.
jidasiran
- 极大似然估计法定位，对于TDOA测距时进行的定位，简单源代码，有锚节点存在的节点自定位-Maximum likelihood estimate for localization
Least Squares Maximum Likelihood as Algorithm
- 最小二乘，极大似然定位算法，其中包括二维和三维的最小均方误差定位算法以及连续定位算法(Least squares, maximum likelihood localization algorithm, which includes two-dimensional and three-dimensional minimum mean square error localization algorithm and continuous positioning algorithm)
yubaocha
- 产生预报差和极大似然估计值估计参数的变化值并画出图线(The prediction error and maximum likelihood estimation are used to estimate the change values of parameters and draw lines.)
MLE
- 用matlab实现基于正态分布的极大似然估计(Realization of maximum likelihood estimation based on normal distribution)