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zuidasiran
- 最大似然法德matlab仿真程序，用在ofdm系统中很好！！！与大家一起享用-Maximum Likelihood France and Germany Matlab simulation program used in ofdm system good! ! ! Together with everyone to enjoy!
EM
- 该算法利用概率论中最大似然估计实现EM算法，通过对理论图像和统计图像的比较得出结果。-The algorithm uses the probability of the maximum likelihood estimate EM algorithm, the results of the comparison of theoretical imagery and statistical image.
ML
- 高斯噪声关于频率的最大似然估计,对初学者有很大帮助-Gaussian noise on the frequency of maximum likelihood estimation
Max-GARCH
- 计算最大值,在估计的时候计算似然估计的最大值，并给出结果。-max caculate
01
- 调用normfit函数求正态总体参数的最大似然估计和置信区间-Normfit function calls seeking normal population parameters of maximum likelihood estimates and confidence intervals
code
- 多天线通信系统（MIMO）仿真，包括卷积码，循环冗余校验，高斯信道，最大似然译码。-Multi-antenna communication system (MIMO) emulation, comprising convolutional codes, cyclic redundancy check, a Gaussian channel, the maximum likelihood decoding.
sao_eq71
- 最大似然（ML）准则和最大后验概率（MAP）准则，部分实现了追踪测速迭代松弛算法，处理信号的时频分析。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Partially achieved tracking speed iterative relaxation algorithm, When processing a signal frequency analysis.
negbi
- 时间序列数据分析中的梅林变换工具，最大似然（ML）准则和最大后验概率（MAP）准则，ICA（主分量分析）算法和程序。- Time series data analysis Mellin transform tool, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, ICA (Principal Component Analysis) algorithm and procedures.
ecauh
- 正确率可以达到98％，借鉴了主成分分析算法（PCA），最大似然（ML）准则和最大后验概率（MAP）准则。- Accuracy can reach 98 , It draws on principal component analysis algorithm (PCA), Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
hr517
- 有井曲线作为输入可计算其地震波的衰减,数据包传送源码程序，最大似然（ML）准则和最大后验概率（MAP）准则。- There is a well attenuation curve as input to calculate its seismic waves, Data packet transfer source program, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
fpymb
- 一种基于多文档得图像合并技术，这个有中文注释，看得明白，最大似然（ML）准则和最大后验概率（MAP）准则。- Based on multi-document image obtained combining technique, The Chinese have a comment, understand it, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
vbemgmm
- 在混合高斯模型参数估计方法上有很多方法，例如最大似然函数的EM算法，但是该算法容易出现过拟合，故本文提出了一个变分EM的算法来对参数进行估计，可以避免EM算法中的不足。 下面的示例文件中说明了使用下面的示例文件说明了用法 examplevbem，VBEM M示例文件 faithful.txt数据集为例(The parameters of Gauss mixture model estimation method has a lot of methods, such as the maxim