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ML-equalization-in-MIMO
- 在平稳瑞利多径信道下，用BPSK调制，用matlab 仿真由最大似然译码的性能。-It discuss a receiver structure called Maximum Likelihood (ML) decoding which gives us a better performance. We will assume that the channel is a flat fading Rayleigh multipath channel and the modulation is BP
STBC
- mimo空时编码STBC，以最大似然值算法做检测 -STBC mimo space-time coding to do the maximum likelihood detection algorithm
RL
- 毫米波图像超分辨复原，采用基于最大似然函数的算法，实现频谱外推-Millimeter wave image super-resolution restoration, using an algorithm based on maximum likelihood function, the spectrum extrapolation
llr_pearl
- 低密度奇偶校验码的最大似然译码的置信度传播算法-Belief-propagation decoding algorithm: Log-likelihood domain
em1
- 使用最大期望算法可以在概率模型中寻找参数最大似然估计。-Using the maximum expected algorithm can seek parameters of maximum likelihood estimation in the probabilistic model
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
MaximumLikelihood
- Mort Canty编写的最大似然法分类程序，在ENVI+IDL环境下运行。- A Maximun Likelhood classification program running under ENVI+IDL enviroment, written by Mort Canty.
xinhaoguji
- 对信号进行检测和估计，对信号进行 最大后验估计和最大似然估计-The signal detection and estimation, the signal Maximum a posteriori estimation and maximum likelihood estimation
Alamouti
- 学习Alamouti空时分组码，了解最大比合并，最大似然译码的使用，了解相关检测和差分检测的区别与判决公式-A code about Alamouti for MIMO.
EM_matlab
- 是一种用于含有隐变量（hidden variable）的概率参数模型的最大似然估计或极大后验概率估计的matlab算法。 -EM MATLAB
zuidasiranguji_matlab
- 基于MATLAB的模式识别的参数估计的最大似然估计，处理水环境分类问题，共分为5类，最后利用贝叶斯决策得出五类总的识别率。 -Maximum likelihood estimation of parameters of pattern recognition of MATLAB estimation based on classification of water environment treatment problem, is divided into 5 categories, the
classifier
- 各种分类器的源码，有注释和功能描述,马氏，贝叶斯，最大似然等-Various classifier source, there are notes and functional descr iption
wm(OFDM-ml)
- 关于采用最大似然同步的OFDM的MATLAB仿真算法，其中调制采用的是QPSK。-About using the maximum likelihood algorithm MATLAB simulation of synchronous OFDM, which uses a modulation QPSK.
remotesensing-classificaiton
- 实现简单的遥感图像分类处理,使用的语言为C++，其中监督分类为最大似然算法，非监督分类为ISODATA算法-Can achieve a simple remote sensing image classification, the language used is C++, which is the maximum likelihood supervised classification algorithms, unsupervised classification algorithm for
EM-algorithm
- EM算法，在统计计算中，最大期望（EM）算法是在概率（probabilistic）模型中寻找参数最大似然估计或者最大后验估计的算法，其中概率模型依赖于无法观测的隐藏变量（Latent Variable）。-EM algorithm
ML_Basic
- 一维最大似然算法（ML），用于进行阵列信号的波达角估计-An implementation of 1D ML algorithm, which is used in the DoA estimation of array signal processing.
ML_Basic
- 2D 最大似然算法（ML），用于二维阵列信号处理的的DOA估计-An implementation of 2D ML algorithm, which is used for 2D DoA estimation in array signal processing.
OFDM_ML
- 对OFDM的载波频偏进行估计和补偿，采用ML最大似然估计算法，有不同频偏值和不同信噪比的仿真结果图。-For OFDM carrier frequency offset estimation and compensation, using ML maximum likelihood estimation, have different values and different SNR offset simulation results shown in Fig.
MLE_Classifier
- 用最大似然估计训练分类器，用Train.txt里的数据进行训练，用Test.txt的数据进行性能检测-Use the maximum likelihood estimation training classifier, use the data in Train.txt to train the classifier and use the data in Test.txt to test the performance of the classifier
ml
- 最大似然估计频偏，符号定时误差的MATLAB仿真-MATLAB simulation maximum likelihood estimation frequency offset