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这是一个关于MATLAB的很好的学习教程，包括了最基本的语法，怎样编程等很好。(It is a good learning MATLAB-tutorial, including the most basic grammar, how good programming.)

精通matlab与c+c++混合程序设计+第2版_,PDF格式，还算清晰，刘维编著，有兴趣的朋友可以下载下来看看 共三卷 (Proficient in matlab and c+ c++ mixed programming+ version 2 _, PDF format, fairly clear, Liu Wei, ed, interested to see if friends can download down)

边缘预测提出了一种基于预测的、有一定自适应性的边缘检测方法。介绍了其原理和算法实现过程。通过计算两个相邻像素的灰度值的均值、均方差和梯度来预测下一个像素的灰度值,比较预测值和真实值来判断下一个像素是否是边界点。通过与现有同类算法的比较,证明了该算法的优越性(A predictive and adaptive edge detection method is proposed. The principle and implementation process of the algorithm are introduced. The gray value of the next pixel is predicted by calculating the mean, mean square deviation and gradient of the gray value of the two adjacent pixels. The prediction value and the real value are compared to determine whether the next pixel is a boundary point. The superiority of this algorithm is proved by comparing with the existing similar algorithms.)

说明：  MATLAB经典书籍 moler编著，采用MATLAB的数值计算方法。(Classic books moler compiled MATLAB, using MATLAB numerical method.)

SPWM inverter with Matlab/simulink

无线传感网络定位代码，其中有很多算法的实现代码，包括误差分析等，介绍的非常详细，值得一看(Wireless sensor network localization code)

program for power system

H_K（Ho-Kashyap）算法的线性分类器 可用于分类简单情况 适合初学者(H_K (Ho-Kashyap) algorithm for the linear classifier can be used for classification are quite simple for beginners)

In this paper, we study cost-sensitive semi-supervised learning where many of the training examples are unlabeled and different misclassification errors are associated with unequal costs. This scenario occurs in many real-world applications. For example, in some disease diagnosis, the cost of erroneously diagnosing a patient as healthy is much higher than that of diagnosing a healthy person as a patient. Also, the acquisition of labeled data requires medical diagnosis which is expensive, while the collection of unlabeled data such as basic health information is much cheaper

说明：   在matlab中通过接口用c语言程序实现求和程序(In matlab interface used by c language program summation process)