RTv7.1-1.4-(VC2005)

对滤波器耦合矩阵中的极点和零点位置进行编程，以求出表示零点极点的多项式(Coupling matrix of the filter pole and zero position programming has been calculated F (w) E (w) polynomial)

MRAC for control systemes

基于模糊逻辑控制的静止同步补偿器来提高暂态稳定性(Fuzzy Logic based Static Synchronous Series Compensator(SSSC) for Transient Stability improvement)

using fast generated fuzzy c-means (fgfcm) for image segmentation.

压缩感知简介,包括压缩感知具体实现过程，最基本的原理说明(compressive sampling)

调用windowd netsh命令，实现网络参数（IP、gateway、netmask、和dns的修改），功能还不完善，拿来大家一起学习(Call windowd netsh command, network parameters (IP, gateway, netmask, and dns changes), the function is not perfect, and brought them to learn together)

dsp means digital signal processing it contain different codes like codec( coder+ decoder) fft = fast fourer transform

《数字图像处理(MATLAB版)》是把图像处理基础理论论述与软件实践方法相结合的第一本书，它集成了冈萨雷斯和伍兹所著的《数字图像处理》一书中的重要内容和MathWorks公司的图像处理工具箱。本书的特色在于它重点强调了怎样通过开发新代码来增强这些软件工具。本书在介绍MATLAB编程基础知识之后，讲述了图像处理的主要内容，具体包括亮度变换、线性和非线性空间滤波、频率域滤波、图像复原与配准、彩色图像处理、小波、图像数据压缩、形态学图像处理、图像分割、区域和边界表示与描述以及对象识别等。(Digital image processing (the MATLAB Version) " is the first book of the combination exposition of the basic theory of image processing software practices, integrated Gonzalez and Woods book" Digital Image Processing " book of important content and MathWorks Image Processing Toolbox. The features of this book lies in its emphasis on how to develop new code to enhance these software tools. Introducing MATLAB programming basics, the book tells the story of the main contents of the image processing, including brightness transform, linear and nonlinear spatial filtering, frequency domain filtering, image restoration and registration, color image processing, wavelets, image data compression, morphological image processing, image segmentation, regions and boundary representation and description, and object recognition.)

用于非均匀采样数据的快速傅里叶变换,相比重采样算法具有更高的精度(for the fast fourier transform of non-equalspace sampled data)

一个关于小波多分辨率的代码，有详细的解释，并附上运行出来的结果图。是用MATLAB写的(On wavelet multi-resolution codes, there is a detailed explanation, together with the results running on Fig. Are written using MATLAB)