Divergence-free-Isogeometric-Methods

支持向量机非线性回归通用matlab程序，本程序使用支持向量机法，实现对数据的非线性回归，核函数的设定和修改在函数内部进行，数据预处理在函数外部进行，简单易懂，希望能对大家有所帮助(Universal non-linear regression support vector machine matlab program, this program uses support vector machine method to achieve non-linear regression of data, settings and modify the kernel function within the function, the data pre-processing function externally, simple and easy to to understand, hoping to be helpful to everyone)

该程序是一个matlab与C++混合编程的例子，用matlab引擎在c++中调用matlab程序(that the procedure was a mixed Matlab and C programming examples, Matlab engine used in c Calling Matlab procedures)

有关于过滤图像 的MATLAB软件,已经上机运行过,对MATLAB编程非常有用(Filtered image on the MATLAB software has been running on the machine before, is very useful for MATLAB programming)

说明：  CCNA中文笔记第2章 　DoD模型被认为是OSI参考模型的浓缩品,分为4层,从上到下是1.DoD模型的Process/Application层对应OSI参考模型的最高3层 　　2.DoD模型的Host-to-Host层对应OSI参考模型的Transport层 　　3.DoD模型的Internet层对应OSI参考模型的Network层 　　4.DoD模型的Network Access层对应OSI参考模型的最底2层 (CCNA Chinese Notes Chapter 2 DoD model OSI reference model is considered concentrated products, divided into four layers, from top to bottom is 1.DoD Model Process/Application layer of OSI reference model corresponds to the maximum 3-layer model 2.DoD Host-to-Host layer corresponds to OSI reference model Transport Layer 3.DoD model Internet layer corresponds to OSI reference model Network model Network Access Layer 4.DoD OSI reference model layer corresponds to the bottom layer 2)

对OFDM系统的仿真分析，对于初接触通信系统的朋友，会有所帮助，进一步了解ofdm。(OFDM system simulation and analysis，for who early contact with communication systems will help to better understand the ofdm。)

说明：  利用lms算法实现自适应滤波器的matlab仿真(The use of LMS adaptive filter algorithm matlab simulation)

说明：  k-中心与qpso算法的结合，从文档中读取对象数据，没有维限制。需要设定类别数，先由k-中心计算出各类中心，然后由qpso优化，得到聚类结果，并保存聚类信息。(algorithm for k-medians and qpso combination of object data read from the document, there is no dimension restrictions. Need to set the number of categories, first calculate the k-medians types of center, and then optimized by qpso obtained clustering results, and save the clustering of information.)

function Luv_back = rgb2luv(Im_rgb) takes an image in Rgb coords and returns either a vector or an image in Luv coords, depending on Type (Image or vector).

灰色模型GM_1_1,一种数学建模的实用方法，对你的比赛，和应用很有帮助(A good mathematical modeling tool, It is very helpful to your study MATLAB)

经验模态分解代码，依据数据自身的时间尺度特征来进行信号分解，无须预先设定任何基函数。(Empirical mode decomposition code, based on the data of their characteristic time scale for signal decomposition, no need of any of a set of basis function.)