matlabSimulink

一个matlab的线性规划的工具箱，不同与matlab自带的函数，功能强大，里面带有该工具箱的使用例子，操作简单。(A matlab toolbox for linear programming, different with matlab built-in function, a powerful inside the toolbox with the use of examples, easy to operate.)

交织码的Matlab源代码，（7，4）卷积交织编码，并附有仿真图形(Intertwined Matlab source code, (7,4) coding Convolutional Interleaver, together with simulation graphics)

to detect the skin color

MATLAB常用函数参考,各种函数命令，操作指南。(MATLAB function reference, a variety of command functions, operation guide.)

颜色量化算法，在HSV空间将颜色量化为128维(colorhist algorithm，the color is divided 128)

自己编写的脑电滤波程序，实现0.3到120HZ范围的滤波(I have written EEG filtering process, to achieve the filtering range of 0.3 to 120HZ)

说明：  三种常用的自适应波束形成算法，LMS、RLS、SMI，用于产生雷达发射方向图(Three commonly used adaptive beamforming algorithms, LMS, RLS and SMI, are used to generate radar transmitting pattern)

This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric. This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.

Curvelet变换是最近图像处理较新的一种多尺度几何变换算法，有详细的快速变换fdct_usfft的matlab代码(Curvelet transform is the latest image processing a multiscale geometric transform algorithm is relatively new, there is a rapid transformation of fdct_usfft with the matlab code)

High Order Statistics Toolbox