matlab-course

说明：  粒子群优化算法是一种进化优化技术，源于对鸟群扑食的行为，是一种基于迭代的优化工具。此文件提供了基本粒子群算法、带压缩因子的粒子群算法、二阶粒子群算法、二阶振荡粒子群算法、权重改进的粒子群算法、混沌粒子群算法、基于杂交的粒子群算法、基于模拟退火的粒子群算法的MATLAB源代码。(PSO is an evolutionary optimization technique, derived from the behavior of the birds of prey, is based on iterative optimization tools. This document provides basic particle swarm algorithm, with a compression factor of the particle swarm algorithm, particle swarm optimization order, second order oscillating particle swarm algorithm, the weight particle swarm algorithm, chaotic particle swarm algorithm, based on hybrid particle swarm algorithm, based on Simulated annealing particle swarm optimization MATLAB source code.)

短时傅里叶的变换，在时域中表示，画出其等高图，三维图等等(Short-time Fourier transformation, said in the time domain, draw the contour map, three dimensional figure, and so on)

一个动态储备设计问题，需要用matlab的MDP工具箱进行求解。(a dynamic reserve design problem)

自适应邻域的局部直方图均衡化算法 自适应邻域的局部直方图均衡化算法(Local Adaptive neighborhood histogram equalization algorithm)

Layout Params Parser Source Code for Andriod.

编写M文件，创建如下图形窗口，分别绘制如下图所示的曲线。 （1）曲线y=sin(t)sin(9t)，要求采用红色，点线。横坐标取值范围[0~ ]，标注x轴、y轴并加标题。 （2）一组余弦曲线，其振幅分别为0.4，0.6和0.8。横坐标取值范围[0~2 ]。添加图例与标题。进入图形编辑状态，调整图例的位置。 （3）分别绘制peaks函数的曲面图和网格线图。对曲面图做平滑处理，并添加标题与colorbar。 (Write M file, create the following graphics window, curves were plotted as shown below. (A) the curve y = sin (t) sin (9t), require the use of a red dotted line. The abscissa in the range [0 ~  ], labeled x-axis, y-axis and a title. (2) a set of a cosine curve, and the amplitude was 0.4, 0.6, 0.8. Abscissa value range [0 ~ 2  ]. Add a legend and title. Into the graphical editing mode, adjust the position of the legend. (3) were drawn surface chart peaks function and grid line graph. Surface charts do for smoothing and add titles and colorbar.)

matlab code for EmbeddingDimension_cao

说明：  HE直方图均衡化matlab算法，能够实现基本的图像对比度增强(HE matlab histogram equalization algorithm)

fuzzy clustering and data analysis toolbox

MatlabR2006a基础教程:Matlab教材课件+源代码 (MatlabR2006a Essentials: Matlab courseware materials+ Source code)