libsvm-plusPPP

说明：  完整详细的介绍OFDM系统源码，保证代码能运行。(OFDM system described in detail the full source code, to ensure that the code can run.)

运用matlab语言，A*算法实现移动机器人路径规划(Path Planning: A* Algorithm Navigating a terrain and finding the shortest path to a Goal location is one of the fundamental problems in path planning. While there are many approaches to this problem, one of the most common and widely known is the A Star search.)

两个典型的混沌系统的例程，仿真，很精练，但是很实用(Two typical chaotic systems routines, simulation, it is concise, but very practical)

用matlab的各种编程例子，可以供大家更好的理解掌握MATLAB，自己觉得挺有用的。(Various matlab programming examples for all to better understand and grasp the MATLAB feel quite useless.)

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)

说明：  自适应交互式多模型滤波程序，内附详细说明(Interactive multiple model adaptive filtering process, containing details)

说明：  《空间谱估计理论与算法》一书中介绍的ML最大似然算法，如果有用请点推荐(ML maximum likelihood algorithm &quot spatial spectrum estimation theory and algorithms,&quot a book described, if helpful please recommend)

摘要地层控制分析与设计问题 无人机（UAV）群系统实现时间。 研究了不同的地层。达到预定时间- 无人机的编队、编队协议各不相同。 首先是群系统，无人机的速度可能不同 当到达编队时。然后，基于共识的方法 用于处理时变信息的形成控制 无人机群系统的问题。必要和充分 无人机群系统实现时变的条件 提出了构造方案。(Abstract-formation control analysis and design problems for unmanned aerial vehicle (UAV) swarm systems to achieve time. varying formations are investigated. To achieve predefined time- varying formations, formation protocols are presented for UAV swarm systems first, where the velocities of UAVS can be different when achieving formations. Then, consensus-based approaches are applied to deal with the time-varyin formation control problems for UAV swarm systems. Necessary and sufficient conditions for UAV swarm systems to achieve time-varying formations are proposed.)

说明：  《MATLAB 7.0编程基础基础》源程序，适合初学者使用，第二章(&quot MATLAB 7.0 programming foundation base&quot source, suitable for beginners, II)

学习采用Matlab程序产生正态分布的二维随机数 估计类均值向量和协方差矩阵的方法 类间离散度矩阵、类内离散度矩阵的计算方法(Learning using Matlab program to generate two-dimensional normal distribution random number estimated class mean vector and covariance matrix method class scatter matrix calculation method of class dispersion matrix)