matlab的基本教学源码，虽然简单但是浅显易懂。

使用Lenet网络对手写数字进行识别，识别效果比较好(Recognition of handwritten numerals by using Lenet network has better recognition effect.)

k-均值聚类算法实现灰度图像分割，输入图像矩阵和聚类中心个数，返回为最终的聚类中心和图像中每个像素所属类的编号（对应于图像矩阵）(k-means clustering algorithm to achieve gray-scale image segmentation, the input image matrix and the number of cluster centers, the return for the final image of the cluster centers and their respective categories in each pixel number (corresponding to the image matrix))

模式识别问题最近邻算法的matlab实现，可以模拟实现最近邻法的核心，是一个不错的代码( Nearest neighbor algorithm for pattern recognition problem of matlab to achieve, can simulate the nearest neighbor method to achieve the core of the code is a good)

MIMO-OFDM系统中的自适应算法中的一种。Chow算法是根据各个子信道的信道容量来分配比特的。与Hughes-Hartogs算法相比，没有了大量的搜素和排序，简化了算法复杂度。(MIMO- OFDM systems in one of the adaptive algorithm. Chow algorithm is based on the channel capacity of each channel to allocate bits. Compared with Hughes- Hartogs algorithm, not a lot of search and sorting, simplify the algorithm complexity.)

This function produces a numerical approximation to 2D Gabor function

主要为数据分析和统计，在matlab环境中自动识别连通区域的大小,对于初学matlab的同学会有帮助，模拟数据分析处理的过程，结合PCA的尺度不变特征变换(SIFT)算法，粒子图像分割及匹配均为自行编制的子例程。

有100个数据点,知道x,y,z的坐标,用命令把这些点拟合成空间的曲线?看点的分布应该是螺旋线,得出一个表达式来表达曲线,有程序(Has 100 data points, know that x, y, z coordinates, using the order of these points to be synthetic curve space? Highlight the distribution should be a spiral line, derived an expression to express the curve, the procedure has)

主要用来计算抛物型偏微分方程的数值解，而且通过调用边界函数来计算方程，采用差分编程方式(Mainly used to calculate the parabolic partial differential equations numerical solution, and by calling the function to calculate the equation of the border, using differential programmatically)

根据)EF 特性中的对比度敏感度， 即空间频率特性曲线，对图像进行二维多级小波分解，由分解后的各小波分量，提取各频段相应的亮 度、清晰度和相关度指标；然后将这三个指标的几何平均与频段加权系数的内积做算术平均，以此作 为图像质量的综合评价指标(According to) EF characteristic of contrast sensitivity, that is spatial frequency characteristic curve, the image is two-dimensional multi-level wavelet decomposition, the decomposition of the wavelet component, extract the frequency band corresponding brightness, clarity and relevance of indicators then the geometric mean of these three indices and the band doing weighted coefficient of the arithmetic mean within the product as a comprehensive evaluation of image quality index)

Implementation of skewness. Much better then the Matlab function