MOPSO

rgb2lab() Converte de RGB image to para LAB, a LAB2RGB Convert an image from CIELAB to RGB.

matlab使用程序教程，包括四部分：1-32是：图形应用篇；33-66是：界面设计篇；67-84是：图形处理篇；85-100是：数值分析篇(matlab tutorial to use the program, including the four-part :1-32 is: graphics applications, articles 33-66 is: interface design articles 67-84 is: graphics processing articles 85-100 are: Numerical Analysis Section)

Decoder for ASN.1 BER DER CER encoded bytestream.

SAR雷达成像的一种基本方法，距离多普勒域的RD算法(One of the SAR imaging algorithms,RD algorithm )

说明：  使用Matlab对图片进行操作时，大量的单张图片不利于操作，此时需要将图片转化为.mat格式，.mat方便我们对数据的处理，使我们更加高效的利用数据。文章中的代码是以PIE数据集作为转换的原始数据，每张图片的名称是连续的数字，相同类别的图片张数相等且名称连续。(When using MATLAB to operate pictures, a large number of single pictures are not conducive to operation. At this time, we need to convert pictures into. mat format. mat is convenient for us to process data, so that we can use data more efficiently. The code in this article is PIE data set as the original data for conversion. The name of each picture is a continuous number. The number of pictures of the same category is equal and the name is continuous.)

huffman编码，经测试绝对能用，大家一起分享(huffman)

FEM matlab program for truss 2D problemes

gaussian mixture model to detect foreground

基于MATLAB/simulink仿真平台的循环流化床锅炉燃烧系统的密相区仿真模型(Based on MATLAB/simulink simulation platform circulating fluidized bed boiler combustion system simulation model of dense phase region)

本书面向MATLAB 的初中级读者，在介绍MATLAB R2014a 集成环境的基础上，对MATLAB 使用中常用的知识和工具进行了详细的介绍，书中各章均提供了大量有针对性的算例，供读者实战练习。 根据内容的侧重点不同，全书分为4 部分共20 章：第1～5 章为基础部分，讲解MATLAB R2014a 概述、MATLAB 基础知识、数组与矩阵、MATLAB 编程基础及数据可视化等；第6～8 章为数学应用部分，讲解数据分析、符号数学计算和概率统计等；第9～15 章为工程应用部分，讲解偏微分方程、优化、图像处理、信号处理、小波分析等工具箱，Simulink 仿真基础及应用等；第16～20 章为知识拓展部分，讲解句柄图形对象、图形用户界面、文件读取I/O、MATLAB 编译器和外部接口应用介绍等内容。为了使用户能够更好地操作MATLAB，本书中示例的命令已记录在M 文件及其他相关文件中，用户可以将相关的目录设置为工作目录，直接使用M 文件进行操作，以便快速掌握MATLAB 的使用方法。(This book is for the middle-class readers MATLAB, MATLAB R2014a based on the introduction of the integrated environment, the use of MATLAB common knowledge and tools are described in detail in the book each chapter offers a lot of targeted studies, for Readers combat exercises. Depending on the focus of the content, the book of 20 chapters divided into 4 parts: 1 to 5 for the basic part, explain MATLAB R2014a overview, MATLAB basics, arrays and matrices, MATLAB Programming Fundamentals and data visualization 6-8 Chapter mathematical application part, explain the data analysis, symbolic math and probability and statistics 9 to 15 for the engineering part, explain the partial differential equations, optimization, image processing, signal processing, wavelet analysis toolbox, Simulink Simulation Fundamentals and applications 16 to 20 chapters expand knowledge part, explain handles graphic objects, the graphical user interface, file read I/O, MATLAB Compiler, and an external interface a)