Description: 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 Platform: |
Size: 40960 |
Author:he |
Hits:
Description: 多天线正交频分复用(MIMO-OFDM,Multiple-Input and Multiple-Output Orthogonal Frequency Division Multiplex)系统中,精确的符号定时同步可使接收端解调数据时消除载波频率偏移和符号间干扰。而由于MIMO空间信道复杂度较高,使得单天线OFDM系统的同步方法不能直接应用于MIMO-OFDM系统中。提出的两步同步方法首先利用时域导频作为第一步同步进行粗同步,然后利用循环交织前缀作为第二步同步对每一个MIMO-OFDM符号进行同步偏差调整。需要指出的是,两次同步过程均可以产生尖锐的相关峰,使得同步精度大为提高。-Accurate timing synchronization of symbol is important for MIMO-OFDM system,and it can eliminate the integral frequency shift of carrier and intersymbol interference.Two-step timing synchronization method is proposed in this thesis.First,the time-domain pilot is employed to obtain coarse timing synchronization,then the interleaved cyclic prefix and maximum likelihood estimation method are adopted to adjust the synchronization difference,through which the correlational characteristic of that window could be ... Platform: |
Size: 807936 |
Author:王睿 |
Hits:
Description: Sphere decoding program. This is the sphere decoding algorithm to achieve maximum likelihood detection. It applies to OFDM and SC-FDE systems. Platform: |
Size: 1024 |
Author:金琦 |
Hits:
Description: Rayleigh Maximum likelihood estimation based filter for speckle noise removal.Along with that modification done in RMLE filter with respect to homogenous mask area rotating kernel filter. Platform: |
Size: 7168 |
Author:sri |
Hits:
Description: 室外定位通过建立TOA最大似然方程对chan算法进行修正
-In outdoor location,the Chan algorithm is corrected by the maximum likelihood equation based on TOA. Platform: |
Size: 8192 |
Author:程猛 |
Hits:
Description: 1、 极大似然估计
尝试用0~24阶多项式拟合，并用5折交叉验证选择最佳模型（多项式阶数及其系数，给出类似课件中的图），并画出最佳模型的拟合效果图（类似图1，蓝色点为训练样本、红色点为测试样本、绿色线为模型预测），给出该模型的测试误差。
2、 岭回归
多项式阶数为24，正则系数λ的取值范围为exp(-19)到exp(20)，采用并用5折交叉验证选择最佳模型。实验结果要求同1。
-1, the maximum likelihood estimate of 0 to 24 try-order polynomial fitting, with 5-fold cross-validation to select the best model (polynomial order and coefficients are given in Figure similar courseware), and draw the best model Fitting renderings (similar to Figure 1, a blue dot to the training sample, the test sample is red dot, the green line is the model prediction), the test error of the model are given. 2, ridge regression polynomial order of 24, the regular coefficient ranges λ is exp (-19) to exp (20), and with the use of 5-fold cross-validation to select the best model. The experimental results with a requirement. Platform: |
Size: 131072 |
Author:Anymake |
Hits:
Description: Maximum Likelihood Estimation
Step 1. : Estimate the mean vector and covariance of an arbitrary 3-class dataset with bi-variate Gaussian distribution by maximum likelihood estimation
An arbitrary 3-class dataset is given (by Dataset.mat) and the priors are equal.
Step 2. : If three arbitrary samples are given as follows, determine to which class each sample should belong.
Let arbitrary samples are as follows: Z_1=[50 50]^T, Z_2=[10 20]^T, Z_3=[0 20]^T-Maximum Likelihood Estimation
Step 1. : Estimate the mean vector and covariance of an arbitrary 3-class dataset with bi-variate Gaussian distribution by maximum likelihood estimation
An arbitrary 3-class dataset is given (by Dataset.mat) and the priors are equal.
Step 2. : If three arbitrary samples are given as follows, determine to which class each sample should belong.
Let arbitrary samples are as follows: Z_1=[50 50]^T, Z_2=[10 20]^T, Z_3=[0 20]^T Platform: |
Size: 23552 |
Author:jyju |
Hits:
Description: 用MATLAB编写代码,在经济和金融中法对连续时间过程实现了封闭的最大似然估计方法-The code, written in MATLAB, implements the closed-form maximum-likelihood estimation method for continuous-time processes in economics and finance. First, the code maximizes the log-likelihood function and displays the MLE estimates, the standard error estimates (constructed from the inverse of Hessian) and the misspecification-robust standard error (i.e., the sandwich estimate). Second, it reports whether the maximization procedure converges under the default tolerance. Finally, it plots the marginal log-likelihood for each parameter in a neighborhood of the estimates. The blue curve is the likelihood function, while each red star corresponds to the estimate for the corresponding parameter. For more information about the models, please read the user s guide (link "more"). Platform: |
Size: 259072 |
Author:雪之恋 |
Hits:
Description: Die Maximum-Likelihood-Methode,matlab-likelihood analysis of exponential distribution,Likelihood fit of exponential folded with
gaussian using MATLAB function fmins (simplex algorithm) Platform: |
Size: 193536 |
Author:daijiangtao |
Hits:
Description: 极大似然和差分算法信道估计算法,仿真结果表明其优越性和良好的性能-The algorithm mainly shows the research process of maximum likelihood and difference algorithm, and the simulation results Platform: |
Size: 307200 |
Author:weishao |
Hits:
Search - maximum likelihood