LADM_LRR

一种基于软划分方法的聚类方法——模糊k均值法聚类分析。(A division of methods based on soft clustering method- fuzzy k-means cluster analysis.)

这是快速学习matlab的ppt，对学习matlab的新手很有帮助(This is the matlab rapid learning ppt, on learning of the novice matlab helpful)

ldpc码的编解码实现，搭建OFDM通信系统的框架，毕业设计有用。( Codec ldpc code implementation Build a framework OFDM communication system, Graduation usefu.)

DQPSK SIMULINK调制解调仿真 绝对能运行(DQPSK SIMULINK simulation is absolutely able to run modem)

this is the3rd file i m uploading

Hinf tuning based on ant colony optimization:filetype .m

The Finite-Difference Time-Domain Method for Electromagnetics with MATLAB Simulations对应的二维代码，有外加电流源(The Finite-Difference Time-Domain Method for Electromagnetics with MATLAB Simulations corresponding two-dimensional code, there is additional current source)

说明：  EM 算法是Dempster，Laind，Rubin于1977年提出的求参数极大似然估计的一种方法，它可以从非完整数据集中对参数进行 MLE估计，是一种非常简单实用的学习算法。这种方法可以广泛地应用于处理缺损数据、截尾数据以及带有噪声等所谓的不完全数据，可以具体来说，我们可以利用EM算法来填充样本中的缺失数据、发现隐藏变量的值、估计HMM中的参数、估计有限混合分布中的参数以及可以进行无监督聚类等等。(EM algorithm is a method for maximum likelihood estimation of parameters proposed by Dempster, Laind and Rubin in 1977. It can estimate parameters from incomplete data sets by MLE. It is a very simple and practical learning algorithm. This method can be widely used in dealing with the so-called incomplete data such as defective data, censored data and noisy data. Specifically, we can use EM algorithm to fill missing data in samples, find hidden variable values, estimate parameters in HMM, estimate parameters in finite mixed distribution, and so on. Unsupervised clustering and so on.)

gradient function for matrix

Matlab implementation of Moore reverberation algorithm, function module