Understanding_LTE_with_MATLAB

delaunary三角剖分，在数据点较小的情况下，运行结果还算客观，但是数据点大于五万时，运行较慢。(Delaunary triangulation, data point in the case of small, the operation results is objective, but the data points is greater than fifty thousand, is running slower.)

基于支持向量机SVM原理，引入惩罚系数，在libsvm3.14安装包基础上实现了支持向量回归matlab编程(Based on the SVM principle of support vector machine, the penalty coefficient is introduced, and support vector regression matlab programming is implemented on the basis of libsvm3.14 installation package)

Edge_preserving_smoothing ofdm

椭圆算法，可用Matlab编程,也可用Mathematica软件编程，给出的是Mathematica程序(Ellipse algorithm, the available Matlab programming, can also be used Mathematica software programming, given the Mathematica program)

matlab的两本些学习书籍，一本是和C混合变成，一本是图像处理(matlab learning of two more books, one is mixed into and C, an image processing)

彩色图像变成灰色图像，并对其进行直方图分析，二维直方图分析以及二维直方图的OTSU处理(Color images into gray image and its histogram analysis, OTSU processing of two-dimensional and two-dimensional histogram histogram analysis)

说明：  关于matlab图像处理的重要实例,包括灰度变换，降噪处理、图像增强和重建(important examples for image postprocessing based on matlab)

模式识别线性判别的程序实现，产生两个二维正态分布随机样本，分别进行Fisher线性分类和感知器分类。其中main.m是主函数，将三个程序放在同一文件夹中，运行main.m即可得到分类结果。(Pattern recognition linear discriminant program implementation, generate two-dimensional normal random sample, were Fisher linear classifier and Perceptron classification. Main.m is the main function of which will be three programs in the same folder, run main.m classification results can be obtained.)

NSGA_II最原始的英文文献，详细介绍了算法的过程及参数选择，适合初学者学习该算法(NSGA_II the most primitive English literature, introduces in detail the process and parameter selection algorithm, suitable for beginners to learn the algorithm)

计算积分，给你积分上下限，可以计算积分，简单的程序(Integration )