计算机专业 实习周记 实习报告

利用L1-SVD算法对信号进行稀疏重构，并且得到DOA估计，在信噪比低及信号相距很近时同样具有很好的效果

在matlab下实现两个经典的多目标优化算法：NSGA-II和MOEA/D。NSGA-II是基于非可支配性排序的一种算法，而MOEA/D为基于分解的一种多目标优化算法，两种都属于基于进化的多目标优化算法（MOEA）。

信息系统设计方案，软件设计方案，包含：系统架构设计、项目开发和管理工具、软件生命周期各阶段的工艺、项目任务分解和人员分工、应用系统培训方案、软件项目费用结构、软件实施方案、软件试运行方案、售后服务。设计方案通用于其他系统方案，有111页

Matlab实现EM算法，用于解决混合高斯模型， 包含用混合高斯模型生成测试数据的代码，包含二维图像生成代码，模式随机选取初值 和 用kmeans方法选取初值两种方式

matlab 算术编码 suanshubian matlab matlab

【实例简介】述职报告 PPT

无人驾驶汽车系统入门 - Autoware_UsersManual_v1.1Autoware-用于城市自主驾驶的集成开源软件，支持以下功能：3D本地化3D映射路径规划路径跟随加速/制动/转向控制数据记录汽车/行人/物体检测交通信号检测交通灯识别车道检测对象跟踪传感器校准传感器融合面向云的地图连接自动化智能手机导航软件仿真虚拟现实Autoware受BSD许可证保护。请自行负责使用。为了安全使用，我们为不拥有真正自主车辆的人提供基于ROSBAG的仿真方法。如果您使用Autoware与真正的自主车辆，请在现场测试之前制定安全措施和风险评估。工尹-刁一定義亡机飞求世。Chapter1。 About This documentThis chapter describes the purpose of this document.Autoware Users ManualAutoware Developers manualChapter2。 RoS and AutowareBefore operating Autoware, RoS and Autoware are described in this chapter.Robot middleware- rosecently, the wide range potential of robotics has been focused by not only roboticsexperts but also non-robotics experts to join robot development It is believed thatthis trend leads robotics to advancement and developments to other domainsHowever, robot development is getting harder because the advancement and the complexityof robot functions have been increased Unlike Pcs and smartphones robotic developmenthas considered various hardware, OS, programming languages. Hence, the differences havemainly been obstructed for robotic developers as well as robotics experts to join robotdevelopmentTo solve the problem, the demand of making common platforms has been increased, andsome platforms have been published Within a common platform, developers can combinevarious software published by other developers, and speed up development by reusing themTherefore, it is expected that developers can more focus on fields of interestROS (Robot Operating System) is a framework for robotic software development. It wasdeveloped by Willow Garage in U.S. OSFR (Open Source Robotics Foundation) has currentlymaintained it. The open sourced ros has mainly been used by communities in U.S. andEurope as well as communities in JapanNote that ros has "os" in its name however, it is not "os" like Windows or linux. It is amiddleware that runs on uniX based OSROS FeaturesOriginal build system(Catkin)mage processing library(OpenCvv Data logging tool (ROSBAG)v Visualization tools for data and software state(rvizCoordinate transformation library (TFQt based gul development tool (RQTA""file is used to start multiple nodes atAutowareutoware is open source software based on ros. autoware is pushed on github forautonomous driving research and development. Most of autonomous drivingsystem consist of recognition, judgment, and operation. Autoware providesnecessary functions, such as 3-D map generation, localization, object recognition, andvehicle control, for autonomous drivingROS PCAutoware〔Ros)RecognitionJudgmentoperationObject DetectionLane KeepingAcceleratorLocalizationIntersectionBrakeSteeringAutowareRiderAutoware routePath PlanningVehicleVehicle control(CAN)CFigure 1 Autoware overviewwhile support systems such as driving assistance and safetydiagnosis support, use multi-core CPU3-D Map Generation and SharingLocalization(NDT: Normal Distributions Transform)object DetectionPath GenerationAutonomous Drivingtarget speed. In addition, the route includes landmarks, "way point, setintervals. The autonomous driving system operates path following by following the wayUser InterfaceA user interface called " Runtime Manager ofpath following. Furthermore, a tablet user interface, "Autoware Rider, of Autoware enablesROS PCAutoware(ROS)Runtime ManagerVIZAutoware ridertabletDisplay on vehicleOculusFigure 2 User interfacePlatform structure for autowareApplicationAutowareMiddlewareROSHost OsLinux( UbuntuCPUGPUCameraGNSSLIDARFigure 3 Platform structure for Autoware

投屏功能的实现，MediaCodec编解码，MediaProjection获取屏幕视频，WebSocket传视频数据，SurfaceView显示。小demo，演示使用。时间有点赶，重新打包了一份，有问题可以交流一下。

最新最好的世界地图shp文件，可以用Arcgis打开

本ZIP文件包含了经典的手写数字的bmp数据，共{0,1,2，……，9}10个类，每个类包含500个数据；然后对图片进行二值化处理，采用patch来对每张image提出特征，最后设计神经网络对特征进行训练，并用得到的net来测试TestingSet，经过调解参数，测试精度可以达到95%左右。整个实现过程是基于matlab语言的，code清晰，明了，简单易懂，绝对值得算法爱好者探究。