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一个用logistic模型编写的细胞生长曲线的模拟程序。(Prepared using a logistic model for cell growth curve of simulation program.)

一共15章，详细介绍了matlab的使用方法，是学习matlab的很好的教程。(A total of 15 chapters, details the use of matlab is a good tutorial to learn matlab.)

Dijkstra routing algorithm example

this code is about different types of digital communications

matlab code about image processing

speech recognition MAtlab source code

厦门大学屈小波老师2014年图像融合新文及matlab代码。(High quality multi-focus image fusion using self-similarity and depth information )

这个程序是一个具有EEDM信号分解的模块程序，它能够将输入的信号进行EEDM分解，从而得到所需要的各个信号分量。(This program is a signal having EEDM decomposition module program, the input signal that can be EEDM decomposition, thereby obtaining desired signal components.)

用于计算传统表面等离子体共振角度谱的反射率曲线(Conventional surface plasmon resonance is used to calculate the spectral reflectance curves of the angle)

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.)