MATERIAL-DMSPSO

用matlab实现支持向量机分类算法，通过对数据进行测试训练来进行分类(Using matlab implementation support to the classification algorithms to data, through testing and training to categorize )

分数间隔恒模盲均衡算法,用于SIMO系统,具有较好的性能(Score interval constant modulus blind equalization algorithm for SIMO system with good performance)

说明：  图像压缩去噪增强锐化程序，供大家参考。 包括：数字图像矩阵数据的显示及其傅立叶变换 二维离散余弦变换的图像压缩 采用灰度变换的方法增强图像的对比度 采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 图像的自适应魏纳滤波 运用5种不同的梯度增强法进行图像锐化 图像的高通滤波和掩模处理 利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理-(Sharpen Image Compression Denoising enhanced procedures for your reference. Include: digital image data display matrix and its Fourier transform two-dimensional discrete cosine transform image compression method using gray-scale transformation of the contrast-enhanced images using two-dimensional median filter function by medfilt2 of salt and pepper noise image filtering using MATLAB The function affected by noise interference filter2 images mean filter Adaptive Image Filtering Wehner use five kinds of different gradient method to enhance image sharpening images of high-pass filtering and mask treatment using Butterworth (Butterworth) low pass filter noise by smoothing the images deal with the use of Butterworth (Butterworth) high-pass filter for sharpening images treatment)

We present in this paper a new method for blind source separation which is adapted to the case where the sources have different morphologies. We show that the morphology diversity concept leads to a new and very efficient method, even in the p

介绍了通信系统中各个通信模块的MATLAB实现(Introduction of the communication systems of various communication modules realize the MATLAB)

MATLAB simulator for wireless LAN

说明：  一个模拟雷达杂波的程序代码,对开发雷达模拟方面有借鉴作用。(A simulated radar clutter the code, the development of radar simulation serve as a reference.)

antenna related matlab code

三次样条插值函数的函数值，在matlab中的m文件，输入数据可以直接应用(the function of spline3)

说明：  NSGA2算法中文版详细介绍,非常实用的多目标优化代码(NSGA2 algorithm Chinese version in detail)