IntroductionAs chip designers pack more functions into ICs,pin counts continue to grow and the space betweenpins keeps shrinking. Pin spacings of 0.5 mm and0.65 mm are not at all uncommon. The power ofthese new ICs is wonderful, to be sure, but trou-bleshooting them can be a chore because connect-ing scopes and logic analyzers has become muchmore difficult and less dependable.
标签： Agilent Probing Wedge High
上传时间： 2013-10-22
上传用户：蒋清华嗯
This application note shows how to achieve low-cost, efficient serial configuration for Spartan FPGA designs. The approachrecommended here takes advantage of unused resources in a design, thereby reducing the cost, part count, memory size,and board space associated with the serial configuration circuitry. As a result, neither processor nor PROM needs to be fullydedicated to performing Spartan configuration.In particular, information is provided on how the idle processing time of an on-board controller can be used to loadconfiguration data from an off-board source. As a result, it is possible to upgrade a Spartan design in the field by sending thebitstream over a network.
上传时间： 2014-08-16
上传用户：adada
摘 要： 针对非同分布的Nakagami信道，基于矩生成函数MGF(Moment Generation Function)的分析方法，提出正交空时分组码系统STBC(Space-Time Block Coding)的一种快速性能评估算法，不需要涉及超几何函数积分运算，可在中高信噪比时，快速准确地估计STBC系统的符号错误概率性能。在平坦瑞利衰落信道下的计算机仿真表明，该算法与已有的STBC系统的近似估计算法相比，具有较优的性能。 关键词： 正交空时分组码； MIMO； MGF； 误符号率
上传时间： 2014-12-29
上传用户：如果你也听说
Abstract: This article describes the Antenna Interface Standards Group (AISG) standard in telecommunications and details itshardware implementation. It explains how a fully integrated transceiver such as the MAX9947 can help reduce space and cost, andsolve bus arbitrations in base-station tower equipment.
上传时间： 2014-12-30
上传用户：wangchong
机场道面异物是威胁跑道运行安全的常见病害，及时、准确的检测异物具有现实意义。针对现有的人工目视检测方法，本文基于图像处理理论，提出了一种机场道面异物的自动检测算法。根据机场道面的复杂背景和常见异物的特点，本文采取了分块的方法，选择Harris角点、灰度共生矩阵、灰度级分布范围等特征，分别用阈值法和SVM法对实际机场道面异物图像进行检测。初步实验证明，该方法可以有效检测出机场道面复杂背景下的异物，实验结果显示，检测正确率达到了98%。
上传时间： 2013-11-26
上传用户：2404
怎样使用Nios II处理器来构建多处理器系统 Chapter 1. Creating Multiprocessor Nios II Systems Introduction to Nios II Multiprocessor Systems . . . . . . . . . . . . . . 1–1 Benefits of Hierarchical Multiprocessor Systems . . . . . . . . . . . . . . . 1–2 Nios II Multiprocessor Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1–2 Multiprocessor Tutorial Prerequisites . . . . . . . . . . . . . . . . . . . . . . . 1–3 Hardware Designs for Peripheral Sharing . . . . . . . . . . . .. . . . . . . . 1–3 Autonomous Multiprocessors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1–3 Multiprocessors that Share Peripherals . . . . . . . . . . . . . . . . . . . . . . 1–4 Sharing Peripherals in a Multiprocessor System . . . . . . . . . . . . . . . . . 1–4 Sharing Memory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1–6 The Hardware Mutex Core . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1–7 Sharing Peripherals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . . . . . 1–8 Overlapping Address Space . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1–8 Software Design Considerations for Multiple Processors . . .. . . . . 1–9 Program Memory . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1–9 Boot Addresses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 1–13 Debugging Nios II Multiprocessor Designs . . . . . . . . . . . . . . . . 1–15 Design Example: The Dining Philosophers’ Problem . . . . .. . . 1–15 Hardware and Software Requirements . . . . . . . . . . . . . . . .. . . 1–16 Installation Notes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1–17 Creating the Hardware System . . . . . . . . . . . . . . .. . . . . . 1–17 Getting Started with the multiprocessor_tutorial_start Design Example 1–17 Viewing a Philosopher System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1–18 Philosopher System Pipeline Bridges . . . . . . . . . . . . . . . . . . . . . 1–19 Adding Philosopher Subsystems . . . . . . . . . . . . . . . . . . . . . . . . . . 1–21 Connecting the Philosopher Subsystems . . . . . . . . . . . . .. . . . . 1–22 Viewing the Complete System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1–27 Generating and Compiling the System . . . . . . . . . . . . . . . . . .. 1–28
上传时间： 2013-11-21
上传用户：lo25643
This application note shows how to achieve low-cost, efficient serial configuration for Spartan FPGA designs. The approachrecommended here takes advantage of unused resources in a design, thereby reducing the cost, part count, memory size,and board space associated with the serial configuration circuitry. As a result, neither processor nor PROM needs to be fullydedicated to performing Spartan configuration.In particular, information is provided on how the idle processing time of an on-board controller can be used to loadconfiguration data from an off-board source. As a result, it is possible to upgrade a Spartan design in the field by sending thebitstream over a network.
上传时间： 2013-11-01
上传用户：wojiaohs
MP3 portable players are the trend in music-listening technology. These players do not includeany mechanical movements, thereby making them ideal for listening to music during any type ofactivity. MP3 is a digital compression technique based on MPEG Layer 3 which stores music ina lot less space than current CD technology. Software is readily available to create MP3 filesfrom an existing CD, and the user can then download these files into a portable MP3 player tobe enjoyed in almost any environment.
上传时间： 2013-11-23
上传用户：nanxia
enter——选取或启动 esc——放弃或取消 f1——启动在线帮助窗口 tab——启动浮动图件的属性窗口 pgup——放大窗口显示比例 pgdn——缩小窗口显示比例 end——刷新屏幕 del——删除点取的元件（1个） ctrl+del——删除选取的元件（2个或2个以上） x+a——取消所有被选取图件的选取状态 x——将浮动图件左右翻转 y——将浮动图件上下翻转 space——将浮动图件旋转90度 crtl+ins——将选取图件复制到编辑区里 shift+ins——将剪贴板里的图件贴到编辑区里 shift+del——将选取图件剪切放入剪贴板里 alt+backspace——恢复前一次的操作 ctrl+backspace——取消前一次的恢复 crtl+g——跳转到指定的位置 crtl+f——寻找指定的文字
上传时间： 2013-11-01
上传用户：a296386173
具有结构风险最小化原则的支持向量机（SVM）对于小样本决策具有较好的学习推广性，并且故障样本的不足在一定程度上制约了基于知识的方法在故障诊断中的运用。针对这一问题，提出了利用支持向量机的方法对匝间转子绕组短路故障诊断方法。该方法利用小波分析对探测线圈测得感应电动势进行处理构造特征向量，然后输入到支持向量机的多故障分类器中进行故障识别。实验数据表明该方法是可行、有效的，并且在小样本的情况下，较BP神经网络有更好的分类效果。
上传时间： 2013-11-04
上传用户：s363994250
