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极限学习机（Extreme Learning Machine，ELM），该算法随机产生输入层与隐含层间的连接权值及隐含层神经元的阈值，且在训练过程中无需调整，只需要设置隐含层神经元的个数，便可以获得唯一的最优解。与传统的训练方法相比，该方法具有学习速度快、泛化性能好等优点(Extreme Learning Machine regression and classification, introduce a new algorithm for SLFN- Extreme Learning Machine (Extreme Learning Machine, ELM), the algorithm randomly generated input layer and hidden layer connection weights between the hidden layer and dollar threshold, and no adjustment in the training process, only need to set the number of hidden layer neurons, they can obtain a unique optimal solution.)

leader-follower聚类算法的matlab实现(leader-follower clustering algorithm matlab realize)

Visual+C++与Matlab混合编程的研究与实现(Visual+ C++ and Matlab Research and Implementation of Hybrid Programming)

本文提出了网络编码，减少了验证对飞块成本，有效地防止恶意块的传播实用的安全解决方案。在我们的方案中，用户不仅合作发布内容，但用户也合作来保护自己免受恶意用户通知受影响的节点时，一个恶意的块被发现。(This paper presents a practical security scheme for network coding that reduces the cost of verifying blocks on-the-fly while efficiently preventing the propagation of malicious blocks. In our scheme, users not only cooperate to distribute the content,but (well-behaved) users also cooperate to protect themselves against malicious users by informing affected nodes when a malicious block is found.)

MATLAB code for root locus plot

无线传感器基于LEACH协议的matlab仿真！(Based on matlab LEACH protocol for wireless sensor simulation!)

MATLAB编程（第二版）Stephen J.Chapman著，国外高校电子信息类优秀教材中文翻译版，菜鸟级入门教程，简单易学。(MATLAB Programming (Second Edition) Stephen J. Chapman a, good foreign universities teaching Chinese electronic information translated version, the rookie-level introductory tutorial, easy to learn. )

MUSIC是基于天线阵列协方差矩阵的特征分解类DOA估计算法，这里是波束空间MUSIC算法源程序。(MUSIC DOA estimation algorithm is based on the decomposition class features antenna array covariance matrix, here is the beam space MUSIC algorithm source.)

tutorial for matlab for image processing tool kit in power point presentation file

提供了SAD算法和根据相关性检测算法，把图像分成四个块，根据每个块的相关性检测目标。(provided under the relevant algorithms and detection algorithm, the image is divided into four blocks, each block of target detection.)