搜索资源列表
imCluster
- 本代码采用极大似然法对图像内容进行分类。不仅操作算法简单，而且效率也明显优于其它算法。-This code uses the maximum likelihood method to classify the image content. Not only the operating algorithm is simple, and the efficiency is significantly better than other algorithms....
econometricspackage
- matlab计量经济程序集，包含回归、广义矩估计、空间分析、极大似然估计、面板数据估计等程序。-matlab econometric package
jidasiran
- 用于参数估计的极大似然估计法,简单，适用，方便-Maximum Likelihood method for parameter estimation，Simple, convenient, applicable
GGD
- 这是几个不同形状参数的广义高斯分布的密度函数作图，以及形状参数的极大似然估计的程序。-This is several different shape parameters of the generalized Gaussian distribution density function mapping, as well as the shape parameter of the great likelihood estimation procedures.
jidasiran
- 极大似然法，基于极大似然法的参数估计，matlab程序-Maximum Likelihood
JDSR
- ICA极大似然估计的自然梯度法仿真实例，并计算了串音误差- An experiment of ICA by MLE,including psnr
code
- 本源代码是极大似然估计的源代码，适用于用极大似然估计来估计参数-The source code is the maximum likelihood estimation of the source code, and the application for maximum likelihood estimation to estimate the parameters
MIBD
- 利用极大似然估计进行盲反卷积复原，通过多帧图像约束，效果较好-Use of maximum likelihood estimates for blind deconvolution restoration by the multi-frame image constraint, the better
Gauss
- 模式识别理论中的Gauss分布参数估计-Gauss分布参数的极大似然估计-Guassian distribution-pattern recognition
jidasiran
- 极大似然参数估计，对于已知输入输出数据的情况下，对系统的参数进行估计。-Maximum Likelihood Parameter estimation, for the case of known input and output data to estimate the parameters of the system.
Analyzing-Spatially-varying-Blur
- 我们提出一种新方法用于单幅图像的空间变化模糊识别,在图像中的每个局部小块，这个局部模糊被选择在一个候选PSFS有限集中间，用一个极大似然方法。我们打算用广义似然减少参数的数量，用广义奇异值分解限制计算值，但是要对图像做出适当的边界假设。-We present a new approach for spatially varying blur identification using a single image. Within each local patch in the image,
StructuredTCopulaMLE
- 结构化t copula函数的极大似然估计
dtjdsrf
- 使用matlab语言，基于递推极大似然法，进行系统辨识-Maximum likelihood method based on recursive system identification
LMLE
- 绝对是好东西啊！基于极大似然估计的三维定位算法，输入参考点的坐标以及观察点的距离，通过极大似然估计算法计算出观察点的坐标，附送支持矩阵运算的C++类库！-Is definitely a good thing! Calculated by maximum likelihood estimation algorithm based on maximum likelihood estimation of three-dimensional positioning algorithm, enter th
SB2_Likelihoods
- 相关向量机，的极大似然估计文件与SB2配合使用，可以进行扩展-Relevance vector machine, maximum likelihood estimation file with SB2 used in conjunction, can be extended
max
- 在疲劳锻炼学科中，常常引入概率的概念，通过极大似然法预测寿命-maximum likelihood method
RELS
- 增广最小二乘的递推算法对应的噪声模型为滑动平均噪声，扩充了参数向量和数据向量H（k）的维数，把噪声模型的辨识同时考虑进去。最小二乘法只能获得过程模型的参数估计，而增广最小二乘法同时又能获得噪声模型的参数估计，若噪声模型为平均滑动模型，，则只能用RELS算法才能获得无偏估计。当数据长度较大时，辨识精度低于极大似然法。-Augmented least squares of recursion algorithm corresponding noise model for moving average
first-lesson
- 介绍了常用的最优估计方法，包括最小二乘发，极大似然估计法，递推法等-The optimal estimation is introduced several kinds of commonly used methods, including least squares, maximum likelihood estimation, recurrence, etc
garchfit
- garchfit函数的用法，用于ARMA参数的拟合，给出参数的极大似然估计值。-The function of the usage of garchfit for ARMA parameter fitting, given the parameters of a great likelihood estimate.
LS-versus-MMSE
- 这是基于MIMO-OFDM的同步算法研究的源程序。本程序采用的极大似然估计的方法。-This is based on MIMO-OFDM synchronization algorithm source code. The program uses the method of maximum likelihood estimates.