Cmeans

我们上课用的MATLAB课件，课件不错，就是老师讲的比较差劲。(the ppt of matlab used in my class)

a program for to maximise the fonction f(x,y)=x+y with genetic algorithm

这是一道很基本的程序，一方面希望它对初学遗传算法的兄弟们有用（包含了遗传算法实现的大部分步骤，而且有详细的注释），另一方面旨在抛砖引玉， 在下浅见： 1、遗传算法在进行大规模计算时，数据交换量大，速度确实是一个瓶颈，就如这道程序，在种群规模50，进化代数1000时运行需要40秒左右(cpu:duron 1G),当然，小弟编程能力弱，望各位大侠指教啊，或帮我修改一下这道程序 (This is a very basic procedure, While they want it beginner GA brothers useful (including the genetic algorithm to achieve the most steps and a detailed note), on the other hand aims to attract the next suggestions : 1. GA conducting large-scale calculations, the data exchange capacity, speed is a bottleneck, as this practice. 50 in population size, the evolution of algebra required for the operation of 1000 when about 40 seconds (cpu : duron 1G), Of course, the younger programming weak, and hopes to enlighten ah Shanhaiguan, or help me rephrase this practice)

PSO-Griewank for matlab

Knapsack problem Solver

暂时只支持jpeg2000支持的 cdf97 和spline53 可以这样来测试： x=imread( E:studyjpeg2000imageslena.tif ) ％ see the decomposition coefficients y=wavelift(x, 1, spl53 ) using spline 5/3 wavelet figure subplot(1,2,1) imshow(x) subplot(1,2,2) imshow(mat2gray(y)) ％ see the reconstruction precision yy=wavelift(x, 5) using cdf 9/7 wavelet ix=wavelift(yy,-5) inverse sum(sum((double(x)-ix).^2)) (only temporary support jpeg2000 support cdf97 and spline53 this can be measured Examination : x = imread (E : study jpeg2000 images lena.tif)% see the d ecomposition coefficients wavelift y = (x, 1, spl53) using spline 5/3 wavelet figure subplot (1,2,1) imshow (x) subplot (1,2, 2) imshow (mat2gray (y))% see the reconstructi on precision wavelift yy = (x, 5) using cdf 9/7 wavelet ix = wavelift (yy.-5) inverse sum (sum ((double (x)- ix). ^ 2)

非常有用的经验模态分解绘图程序，包含源文件与图(Empiricial Mode Decomposition (Hilbert-Huang Transform))

对叠后地震资料进行偏移处理的的matlab程序，仅供参考(For post-stack seismic data migration processing matlab program for reference purposes only)

DS-CDMA仿真源程序，内附详细说明文档，适合初学者(DS-CDMA simulation source code, containing detailed documentation, suitable for beginners)

说明：  多个基于MATLAB约束最优化问题源码。程序具有通用性，供相关人员参考(Number of constrained optimization problems based on MATLAB source code. Process is universal, for future study)