PowerPCB教程简介 欢迎使用 PowerPCB 教程。本教程描述了PADS-PowerPCB 的绝大部分功能 和特点，以及使用的各个过程，这些功能包括： · 基本操作 · 建立元件(Component) · 建立板子边框线(Board outline) · 输入网表(Netlist) · 设置设计规则(Design Rule) ·元件(Part)的布局(Placement) · 手工和交互的布线 · SPECCTRA全自动布线器(Route Engine) ·覆铜(Copper Pour) · 建立分隔/混合平面层(Split/mixed Plane) · Microsoft 的目标连接与嵌入(OLE)(Object Linking embedding) · 可选择的装配选件(Assembly options) · 设计规则检查(Design Rule Check) · 反向标注(Back Annotation) · 绘图输出(Plot Output) 使用本教程后，你可以学到印制电路板设计和制造的许多基本知识。 你不必一次完成整个教程，如果在任何时候退出后，下次直接找到你要进入 的部分，继续学习本教程。 当你完成了本教程的学习后，可以参考在线帮助(On-line Help)以便得到更多 的信息。如果你需要附加的信息内容，你可以与PADS 在各地办事处或代理商取 得联系，以便得到更多的帮助。 欢迎使用PowerPCB进行PCB设计！
标签： PowerPCB PADS-PowerPCB 教程 分
上传时间： 2013-12-12
上传用户：caozhizhi
The matlab code implements the ensemble of decision tree classifiers proposed in: "L. Nanni and A. Lumini, Input Decimated Ensemble based on Neighborhood Preserving embedding for spectrogram classification, Expert Systems With Applications doi:10.1016/j.eswa.2009.02.072 "
标签： L. A. classifiers implements
上传时间： 2017-08-02
上传用户：无聊来刷下
The potential of solving real-time demanding industrial applications, using vision-based algorithms, drastically grew due to an increasing availability of computational power. In this thesis a novel real-time, vision-based Blackjack analysis system is presented. The embedding of the vision algorithms in a compound system of other information sources such as an electronic chip tray, reduces the vision task to detect cards and chips. Robust results are achieved by not just analyzing single frames but an image stream regarding game-ß ow informations. The requirements for such a system are a highly robust and adaptive behav- ior. This is motivated by the vital interest of casino entrepreneurs in a 100 statistical analysis of their offered gambling in order to support the business plan, measuring table and dealer performance and give accurate player rating. Extensive experiments show the robustness and applicability of the proposed system.
标签： applications vision-based algorithms industrial
上传时间： 2017-08-20
上传用户：liansi
