MC_Knock_Out

图像域上的DFS遍历，函数返回连通域数量，范围端点以及最大值(DFS traversal on the image domain, the function returns the number of connected domains, the scope of the endpoint as well as the maximum value)

说明：  用于灰色关联度的计算，计算子序列对母序列的关联程度，找出关键因素(Calculation of Grey Relevance Degree)

摘要:该文介绍基于Matlab/Simulink进行雷达系统仿真的基本规范,开发了有关的雷达系统仿真模型库,并在该平台上对某 脉冲多普勒雷达系统进行了仿真,给出了仿真结果和分析"为今后在Matlab/Simulink上开发大规模雷达系统仿真模型库和 仿真复杂雷达系统打下基础"该文的工作不但克服了在工作站上用SPW等系统仿真软件进行雷达系统仿真投入大!推广 难的不足,又克服了利用高级语言编写雷达系统软件通用性差!难度高!周期长的缺点" 关键词:规范 仿真 雷达系统(Abstract: This paper introduces the on Matlab/Simulink simulation for radar systems, the basic norms, the development of the radar system simulation model base, and on the platform of a pulse Doppler radar system simulation, the simulation results and analysis )

c 语言试题 结合。大结合结合大量试题，相信对很多朋友有用、、(C language test Combined. Combined with a big test of many friends, that is useful,)

说明：  本实验的目的是了解非参数估计--parzen窗估计，对数据进行Parzen窗估计和设计分类器。并分析窗口宽度h对分类的影响。(The purpose of this study is to understand the non-parametric estimation- parzen window estimation, Parzen window estimate of the data and design of classifiers. Window width h and analyzed the impact on the classification.)

Object Detection using Matlab

wifi无线物理层密钥生成，通过RSS进行提取，之后进行密钥生成，最后计算误码率。(wifi wireless physical layer key generation, extraction via RSS, after key generation, the final calculation of the error rate.)

Monte-Carlo simulation for Critical Path Method, implemented in MATLAB. Uses criticalpath.m library, available for download as well. Function: calculate project length and standard deviation.

matlab教程ppt 第5章 MATLAB数据分析与多项式计算(the ppt about of matlab)

matlab例程MATLAB 6.x版的内建数据类型（Built-in data type）就有5种以上，此外还有许多其他专门设计的类（Class），如符号类、内联函数类、控制工具包中的线性时不变模型类、神经网络类等。就程序设计而言，MATLAB 6.x版采用了面向对象编程技术。数据和编程的改变使用户能更简捷而自然地解决复杂的计算问题（如符号计算问题、多变量控制系统问题、神经网络问题）。本章内容根据MATLAB6.5编写，但绝大部分内容适用于其他MATLAB6.x版本。(Matlab routines MATLAB 6.x version of the built-in data types (Built-in da ta type) have more than five, in addition to many other specialized design category (Class). If symbol, which together function category, tool kits control the linear time-invariant model type, neural network type. On the design process, using MATLAB 6.x version of the object-oriented programming technology. Programming and data changes so that users can more simple and natural solution to the complex calculation (as symbolic computation, multivariable control systems, neural networks). According to the contents of this chapter MATLAB6.5 preparation, But most of what applies to other MATLAB6.x version.)