elm_linear.tar

说明：  实现非局部平均去噪算法（non local mean）(The realization of non-local denoising algorithm on average (non local mean))

it s about a course in language C++ writen by professional professor in university course number 88

介绍了matlab与vc的接口编程，并引入了常见问题解决。(Introduces MATLAB and VC programming interface, and introduces common problems)

此程序用于在nw小世界网络中求特征根，通过输入节点总数，耦合数值和最大运行次数(This program is used to find the characteristic roots in nw small world networks, by the total number of input nodes, coupling values ​ ​ and the maximum number of runs)

ofdm发送端和接收端，根据短训练字的特性进行相关运算，进行信号到达检测，当检测到相关值大于门限一定次数后，认为有信号到达。(ofdm sending end and receiving end, according to the characteristics of the short training word correlation operation, the signal reaching the detector, when the detected correlation value is greater than the threshold after a certain number of times that a signal arrives.)

数字信号处理资料 涉及Matla编程应用(Digital signal processing information relating to the application programming Matla)

数据联合检测与信道估计源码，此为博士论文相关程序，对信道及信号检测有详尽的描述和仿真(Joint data detection and channel estimation source, this doctoral thesis program, a detailed description of the channel and the signal detection and simulation)

基于加权最小统计的噪声谱估计改进算法,对研究噪声处理的人相当有用("Estimation algorithm based on weighted minimum statistics noise spectrum")

《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.)

matlab编程实现-陈显毅 教材配套每一章节的代码(matlab realize)