粒子群眼算法 PSOFORWTA

huffmann code..........................................

Discrete cos transform code on matlab

为了弥补传统中值滤波器在进行图像降噪处理中的不足,在图像降噪技术中应用了自适应中值滤波器。文中重点介绍了自适应中值滤波器的工作原理并在Matlab平台上进行了仿真试验，与传统中值滤波器进行了比较,计算机仿真结果表明在对密度较大的椒盐噪声进行滤波时,自适应中值滤波较传统中值滤波具有较大的优越性。(To remedy disadvantage of traditional median filtering algorithms in image denoise ,adaptive median filter is introduced and applied to image denoise. Key technology in actual uses is analyzed and is implemented in Matlab platform.Compared with traditional median filter , the computer simulation results show that when used to filter image with the higher level of noise , adaptive median filter is preferable to traditional median filter.)

MIMO系统程序,MATLAB原程序，运行可以通过(THE sysetem of MIMO)

A New Image Filter for Impulsive Noise Based on Rough Sets

说明：  应用遗传算法解决多峰函数优化问题，气宗遗传算法的步骤很完备。(Application of genetic algorithms to solve multimodal function optimization, genetic algorithms gas were the steps are complete.)

cic抽取滤波器的matlab软件仿真实现的源代码(cic decimation filter implementation matlab source code for software simulation)

function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers corresponding to each class. Version: 07/08/11 Authors: Laurent Sorber (Laurent.Sorber@cs.kuleuven.be) References: [1] J. B. MacQueen, "Some Methods for Classification and Analysis of MultiVariate Observations", in Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, L. M. L. Cam and J. Neyman, eds., vol. 1, UC Press, 1967, pp. 281-297. [2] D. Arthur and S. Vassilvitskii, "k-means++: The Advantages of Careful Seeding", Technical Report 2006-13, Stanford InfoLab, 2006.

用于方程组求解的matlab实例源代码（赋使用说明）(Equations for the matlab source code)

this is source code of matlab to reduce the noise of image.