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MATLAB学习资料，主要讲述MATLAB仿真相关内容，仿真必备学习资料，英文文章(MATLAB learning materials, focuses on the MATLAB simulation related content, the emulation essential learning materials, English articles)

一个图像去噪的Matlab程序，可用于图像的边缘提取等工作。(Image denoising)

matlab像素级图像处理，，显示处理结果，适合于图像处理入门。包括了一些基本的图像处理方法，如求反，均值滤波中值滤波，拉斯变换，还有一个结构光条纹中心求取程序。所有程序有一个gui界面，方便操作。(matlab pixel level image processing, display the results, suitable for image processing started. Includes some basic image processing methods, such as anti-seeking, average filtering, median filtering, Laplace transform, and a structured light strip center strike procedures. All programs have a gui interface for easy operation.)

利用Matlab编程进行主成分分析 讲解有关主成分在matlab中的应用(And Matlab programming principal component analysis on the principal component in matlab)

聚类代码(include sparse capability)(Clustering code (include sparse capability))

qam仿真程序，主要包括输入信号的qam调制(qam simulation program, which mainly includes the input signal modulation qam)

支持向量机是用于分类与回归的技术。由于其自身的诸多缺点，如无法获得概率输出，需要估计一个误 差参数C，以及必须使用Mercer 核函数等。相关向量机算法，克服了SVM 上述缺点，RVM 能获得与SVM 相比拟的推 广性能，并且更为稀疏。在此基础上，文中介绍了一种RVM 回归用于分类的新分类方法，用RVRC 来表示。并通过 实验证明了它的可行性。(Support vector machines for classification and regression techniques. Due to its many shortcomings, such as the probability that the output can not be obtained, need to estimate an error parameter C, and the need to use Mercer kernel function and so on. Relevance vector machine algorithm to overcome these shortcomings of SVM, RVM and SVM can be obtained comparable to promote performance and more sparse. On this basis, the paper introduces a RVM regression was used to classify new classification method, RVRC to represent. And through experiments proved its feasibility.)

基于LMS算法的自适应噪声消除仿真分析,内含详细的文档说明(LMS-based adaptive noise cancellation algorithm simulation analysis, contains a detailed documentation)

说明：  编程珠玑源代码 很经典 都是c和c++的源代码(Abas programming source code is very classic and c are c++ Source code)

bidirectional CSA(cross search algorithm) for motion estimation