USB_Mini-USB_Micro_USB

讲解如何在ClearQuest中实现流程开发(ClearQuest Process development)

说明：  在Windows应用程序中禁用网卡，光驱和USB存储设备(Application in Windows to disable the network card, CD-ROM and USB storage devices)

USB的通讯协议(通俗易懂) PDF 格式 初学者可以看一下 (USB communication protocol (user-friendly) PDF format beginners can look)

基于.net办公管理信息系统的设计与实现:一个毕业设计，完整版，参考学习用！(Based on. Net Office Management Information System Design and Implementation: A graduate design, full version, refer to learning to use!)

基于RM6203的开关电源原理图设计，已量产(RM6203 switching power supply schematic design, production)

STM8、STM32选型手册，方便对比，型号比较多！！！(STM8, STM32 Selection Guide for easy comparison, more models! ! !)

使用Labview编写PC端USB通讯程序，与C8051f320进行大规模数组USB通讯。文件中Device部分是Silab提供的FileTransfer例程，适用于C8051f320；Host部分中VC程序Silab提供的原例程，Labview程序是根据VC程序自主改写移植而成。已通过测试验证。(Interface for USB communicatons on PC, was coded by Labview, and it can transfer(USB) big array with C8051f320. The Device folder from Silab s example "FileTransfer", and the VC code in Host folder also. The VI in Host folder is code basic the VC code. The VI passed test.)

主要是针对HID USB 应用的程序。包括：查找设备、读取USB数据、写入USB数据等。简单易懂。(HID USB is mainly directed against the application of procedures. Include the following: Find equipment, read the USB data into the USB data. Easy-to-read.)

stm32 usb vcp电脑驱动 win7驱动安装包(stm32 usb vcp computer-driven win7 driver installation package)

A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity functions suitable for gradient-based optimization, hence, the target localization problem can be formulated using the basin of attraction of the local maxima. We employ a metric derived from the Bhattacharyya coefficient as similarity measure, and use the mean shift procedure to perform the optimization. In the presented tracking examples, the new method successfully coped with camera motion, partial occlusions, clutter, and target scale variations. Integration with motion filters and data association techniques is also discussed. We describe only a few of the potential applications: exploitation of background information, Kalman tracking using motion models, and face tracking.