MRT-LBM

利用matlab的simulink进行三杆的工作空间仿真分析(The use of matlab simulink for three working space simulation analysis)

以下几个matlab程序对雷达常用的线性调频信号（lfm信号）进行脉冲压缩时的关键问题进行了仿真，其中包括旁瓣抑制影响（加窗与不加窗）、多卜勒频移影响，并对时域脉压与频域脉压结果进行了对比分析，供相关技术人员参考。(Matlab following procedures commonly used on the radar LFM signal (lfm signal) for pulse compression at the time of the key issues of simulation, including the impact of sidelobe suppression (plus a window with no window), the impact of Doppler frequency shift, time domain and frequency domain pulse pressure and pulse pressure results of comparative analysis of relevant technical personnel for reference.)

一种空间平滑MUSIC算法的MATLAB源程序(A spatial smoothing MUSIC algorithm MATLAB source)

关于目标追踪的算法,用卡尔曼滤波方法，论文后面有相关的仿真图(a new way to track)

pso程序的源代码 pso程序的源代码-粒子群优化算法源程序 作者：FashionXu 一个pso程序的源代码。在vc.net2003下面通过。 建议：看代码之前，请先弄明白pso是怎么回事。然后请对应着来：程序中用Agent代表一只鸟，PSO代表鸟群。阅读源代码，不要顺着看，先看main(),然后按照出现的东西的顺序，一个一个得来，呵呵，纯粹是建议。(program s source code pso pso program s source code - source code on Particle Swarm Optimization: FashionXu a pso program source code. In vc.net2003 following through. Recommendation: look at the code before you figure out how the matter pso. Then please correspond to: Program using Agent on behalf of a bird, PSO representative of the flock. Read the source code, do not look down, look at the main (), then follow the order of things there, one by one, come, Oh, merely suggestions.)

介绍国内外机械故障诊断技术的发展情况，并列举了应用实例。(Describes the development of domestic and foreign machinery fault diagnosis technology, and examples of its applications.)

关于恶意代码检测和LTE网络，4G的LTE-A网络的外语文章(Foreign-language article about malicious code detection and lte network, lte-a network of 4g)

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)

一个基于增量反馈的广义预测控制算法的matlab程序，程序说明详细(A feedback based on incremental generalized predictive control algorithm matlab program, detailed description of the procedures)

K-Means聚类算法 Matlab代码，内有程序注释。(K-Means Matlab)