Iteration_method

所给程序中，先给出一副原始图像，在其中添加椒盐噪声，然后用几种方法进行平滑滤波，包括邻域均值法，邻域中值滤波和K邻域均值滤波，其中的K邻域均值滤波所选掩膜为3*3，K值取5，图片选用board.ti。(Given program, the first is given an original image, in which the added salt & pepper noise, and then use several methods of smoothing, including the neighborhood average method, o-field value filtering and K neighborhood mean filter, where K o domain mean filter mask for the selected 3* 3, K value of taking five, picture selection board.ti.)

VC运算速度较快，相对于matlab而言，编程较为烦琐，而matlab编程灵活，并且方很多工具箱，使用极为方便，但是matlab的M语言编写的仿真程序的仿真速度相对较慢。 C-MEX函数是基于C语言编写的C与matlab接口函数，是matlab应用程序接口的一个重要组成部分。通过它不但可以将现有的C语言编写的程序轻松地引入到matlab环境中使用，避免了重复的程序设计，而且可以使用C语言为matlab定制用于特定目的的函数(如为了保护算法设计等)， 以完成在matlab中不易实现的任务。此外，更重要的一点，使用C语言编写的C-MEX函数可以有效地提高M灯matlab环境中数据处理速度和效率。 (VC computing faster, compared to matlab, the program is more cumbersome, but matlab programming flexibility, and a lot of side toolbox, use very convenient, but the M-language matlab simulation program written in a relatively slow simulation speed. C-MEX function is based on the C language interface written in C and matlab functions matlab application interface is an important component. It can not only be through the existing programs written in C language easily introduced into the matlab environment, to avoid the duplication of programming, and can be customized using the C language for matlab functions for specific purposes (such as algorithm design, etc. in order to protect ), Matlab in order to complete the task is not easy to achieve. In addition, more importantly, the use of C language written in C-MEX function can effectively improve the M light matlab environment, data processing speed and efficiency. )

K均值聚类算法,短小实用。可以试一试哈。(k-means cluster. Matlab Code.)

Digital to Analog converter sample code

matlab仿真程序，适合初学者，比较实用，可用性高。(matlab simulation program, suitable for beginners, more practical, high-availability.)

Genetic algorithm matlab code to maximise sinx

动力学分析的五种算法，分别是模态叠加法、Newmark积分算法、中心差分算法等m文件代码(m-codes about dynamic analysis )

matlab GUI 示例，利用guide命令。主要是说明了一下框架和用法。(matlab GUI example, the use of guide command. Is mainly explained about the framework and usage.)

An Introduction to neural networks

function [x, hist] = secant(x, f, tola, tolr) SECANT This a secant code with no line search. This code terminates on small relative-absolute errors function [X, HIST] = SECANT(X, F, TOLA, TOLR) Inputs: X = initial iterate F = function TOLA = absolute error tolerance TOLR = relative error tolerance Output: X = approximate result