dlimintc

现有的几个网络拓扑随机发生器，其实很难生成理想的网络拓扑结构，其主要原因在于很难控制节点的疏密和间距。我们提出来的这个改进算法，在随机抛撒节点的时候使用了K均值聚类，由本算法作为网络拓扑发生器，网络节点分布均匀且疏密得当，边的分布也比较均衡(The few existing random network topology generator, is in fact very difficult to generate the desired network topology, the main reason it is difficult to control the node density and spacing. We put forward the improved algorithm, throw in random nodes when using the K-means clustering, by the algorithm as a network topology generator, network nodes and spacing evenly distributed properly, the edge of a more balanced distribution of)

海底回波检测, 很有用的程序。(Sea echo detection, the procedure is useful)

K-nearest neighbors 搜索 聚类时经常使用的一种方法 国外网站转载( The following utilities are provided: - Nearest neighbor - K-Nearest neighbors - Radius Search They al supports N-dimensions and work on double, it is possible to choose if return the distances. Here is a time comparison with a vectrized m-code: N=1000000 number of reference points Nq=100 number of query points dim=3 dimension of points k=3 number of neighbor tic [idc,dist]=BruteSearchMex(p ,qp , k ,k) MEX toc tic [idc,dist]=knnsearch(qp,p,k) VECTORIZED M-CODE toc p=rand(N,dim) qp=rand(Nq,dim) Output: Elapsed time is 0.962640 seconds. Elapsed time is 18.813100 seconds. )

该压缩包包含计算l1范数的最优化问题及使l1还原数据(Computing l1 norm optimization problem)

Multi- Phase Shift Keying (Digital Communication)

article in english for subsytem

Chapter 8. Numerical Optimization Algorithm 8.1 Golden Search for a Minimum Algorithm 8.2 Nelder-Mead s Minimization Method Algorithm 8.3 Local Minimum Search Using Quadratic Interpolation Algorithm 8.4 Steepest Descent or Gradient Method

motionComp.m 运动补偿算法 imgPSNR.m 图像的PSNR (motionComp.m motion compensation algorithm imgPSNR.m image PSNR)

《MATLAB神经网络超级学习手册》随书光盘，《MATLAB神经网络超级学习手册》以神经网络结构为主线，以学习算法为副线，结合各种实例，目的是使读者易看懂、会应用。本书是一本简明介绍MATLAB神经网络设计技能的综合性用书。《MATLAB神经网络超级学习手册》深入浅出，实例引导，讲解详实，既可以作为高等院校理工科的研究生、本科生的教材，也可作为广大科研工程技术人员的参考用书。( MATLAB neural network super learning Handbook CD with the book, MATLAB neural network super learning manual to the neural network structure of the main line, as Vice-line learning algorithm, combined with a variety of examples is intended to enable readers to easily understand, will be applied. This book is a brief introduction to MATLAB neural network design skills and comprehensive book. MATLAB neural network super learning Handbook in layman s language, examples guidance, detailed explanation, either as colleges of science and engineering graduate students, undergraduate teaching, but also can be used as a reference the majority of scientific engineering and technical personnel of the book.)

skin detection by back projection and using a .jpg file consist of skin model and detect skin from image that have an similar texture compare to model