pso_adptive_w

高斯噪声环境下宽带矢量信号仿真(Gaussian noise environment simulation of broadband vector signal)

matlab命令大全，包括几乎所有的matlab命令，中文版，比使用help命令查询方便很多，是matlab用户的好帮手。(matlab command Guinness, including almost all of matlab command, the Chinese version, than the use of help command a lot of inquiries convenience is a good helper matlab users.)

ADVANCED MOUSE POINTER CONTROL USING TRAJECTORY

本程序是运用SVM来实现人脸识别算法，能直接运行且能进行二次开发(This procedure is to use SVM to implement face recognition algorithm that can run directly and can perform a secondary development)

再传一个计算haralick的灰度共生矩阵的14个特征值的程序(Re-transmission of a GLCM calculation haralick the characteristic values of 14 procedures)

改进后的游程编码，可以继续量化编码转化为二进制数据流，针对一些较为接近的数，通过合适的阈值设定可以近似，从而大大压缩数据流(The improved run-length coding, can continue to quantify the code into binary data stream, for some of the more close to the number set by appropriate threshold can be approximated, thereby greatly compressed data stream)

说明：  用Matlab进行可视化界面设计，有菜单、控件、用户输入等(using Matlab for visual interface design, menus, controls, such as user input)

这是一个经典的形变模型实施,在一个单一的文件用简单的可以理解的代码。 功能包括两部分一个简单的弱分类器和一个促进部分: 弱分类器试图找到最佳阈值的数据维数对数据进行分离成两个阶级1和1 要求的进一步提高分类器部分迭代,每一步是变化分类权重miss-classified例子。这造成了一连串的“弱分类器”,表现得像一个“强大分类器” (This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1 The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier" . )

matlab code for capacity control of mutli channel LTE physical layer

FISTA 压缩感知的图像使用快速迭代shrinkage-thresholding算法(小波sparsifying转换 傅氏域抽样磁共振成像和氡转换断层测量)( FISTA compression perception of image using fast iterative shrinkage- thresholding algorithm (magnetic resonance imaging (fmri) wavelet sparsifying transform fourier-domain sampling and measuring radon transform fault) )