HuffmanAlgorithmProbabilityTree

QC-LDPC码编程，围长为8，列重为3，无4环(The program contructs column-weight three girth-eight QC-LPDC codes given row-weight and sub-matrix size. row-weights and sub-matrices sizes are variable.)

matlab，小波，滤波，同态滤波matlab程序，用于图像处理，滤波处理，采用matlab编写，完整文件，直接运行。(matlab, wavelet filtering, homomorphic filtering matlab program for image processing, filtering, using matlab, complete documentation, run directly.)

说明：  matlab编写的流体计算和传热程序(Matlab 程序)(Matlab calculations prepared by the fluid and heat transfer procedures (procedures Matlab))

电力系统变压器空载合闸时励磁涌流的仿真，设置好了合闸时间，对励磁涌流波形和存在的谐波进行分析，能直观体现励磁涌流的特点。(Power system transformer load switching inrush current simulation, set closing time, the inrush current waveform and the presence of harmonic analysis, can directly reflect the characteristics of the inrush current.)

用实现视频快速超分辨率的matlab源程序(To achieve super-resolution video using the matlab source code fast)

Uppal is a prototype verification tool to maodel and verify prototype

对矩形进行小矩形分割，对点，边，单元进行标记，对laplase方程求解(Small rectangle rectangle split points, edges, unit mark of laplase Equations)

Adaptive Filtering Primer with MATLAB - Poularikas and Ramadan

MALAB GUI 学习资料， 总共10章 对初学者很有帮助。。。。。(MALAB GUI )

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)