亚洲欧美第一页_禁久久精品乱码_粉嫩av一区二区三区免费野_久草精品视频

蟲(chóng)蟲(chóng)首頁(yè)| 資源下載| 資源專(zhuān)輯| 精品軟件
登錄| 注冊(cè)

Prototyping

  • The Design and Implementation of a Hardware Accelerated Raytracer Using the TM3a FPGA Prototyping

    The Design and Implementation of a Hardware Accelerated Raytracer Using the TM3a FPGA Prototyping System

    標(biāo)簽: Implementation Accelerated Prototyping Raytracer

    上傳時(shí)間: 2013-12-27

    上傳用戶(hù):gundamwzc

  • MAX16833高電壓,高亮度LED驅(qū)動(dòng)器分部設(shè)計(jì)

    Abstract: This application note details a step-by-step design process for the MAX16833 high-voltagehigh-brightness LED driver. This process can speed up Prototyping and increase the chance for firstpass

    標(biāo)簽: 16833 MAX LED 高電壓

    上傳時(shí)間: 2013-10-09

    上傳用戶(hù):tianjinfan

  • LTC6994參考設(shè)計(jì)及PCB布線規(guī)則

    Demonstration circuit 1562A is an engineering toolto design and evaluate the LTC699X-X family ofTimerBlox circuits. The center section of the boardcontains a pre-configured TimerBlox function.DC1562A comes in twelve timing function variationsas outlined in Table 1.Surrounding the center board is a ”playground”Prototyping area. The Prototyping area has padsfor Dip-8, S8, MS8, or S6 packages with breadboarding connections to each pin and two convenientpower buses and ground bus surrounding theentire area. This area is for conditioning signals tocontrol the timer function and for adding loads controlled in time.

    標(biāo)簽: 6994 LTC PCB 參考設(shè)計(jì)

    上傳時(shí)間: 2013-10-18

    上傳用戶(hù):如果你也聽(tīng)說(shuō)

  • FPGA設(shè)計(jì)重利用方法(Design Reuse Methodology)

      FPGAs have changed dramatically since Xilinx first introduced them just 15 years ago. In thepast, FPGA were primarily used for Prototyping and lower volume applications; custom ASICswere used for high volume, cost sensitive designs. FPGAs had also been too expensive and tooslow for many applications, let alone for System Level Integration (SLI). Plus, the development

    標(biāo)簽: Methodology Design Reuse FPGA

    上傳時(shí)間: 2013-10-23

    上傳用戶(hù):旗魚(yú)旗魚(yú)

  • FPGA設(shè)計(jì)重利用方法(Design Reuse Methodology)

      FPGAs have changed dramatically since Xilinx first introduced them just 15 years ago. In thepast, FPGA were primarily used for Prototyping and lower volume applications; custom ASICswere used for high volume, cost sensitive designs. FPGAs had also been too expensive and tooslow for many applications, let alone for System Level Integration (SLI). Plus, the development

    標(biāo)簽: Methodology Design Reuse FPGA

    上傳時(shí)間: 2013-11-01

    上傳用戶(hù):shawvi

  • 賽靈思電機(jī)控制開(kāi)發(fā)套件簡(jiǎn)介(英文版)

      The power of programmability gives industrial automation designers a highly efficient, cost-effective alternative to traditional motor control units (MCUs)。 The parallel-processing power, fast computational speeds, and connectivity versatility of Xilinx® FPGAs can accelerate the implementation of advanced motor control algorithms such as Field Oriented Control (FOC)。   Additionally, Xilinx devices lower costs with greater on-chip integration of system components and shorten latencies with high-performance digital signal processing (DSP) that can tackle compute-intensive functions such as PID Controller, Clark/Park transforms, and Space Vector PWM.   The Xilinx Spartan®-6 FPGA Motor Control Development Kit gives designers an ideal starting point for evaluating time-saving, proven, motor-control reference designs. The kit also shortens the process of developing custom control capabilities, with integrated peripheral functions (Ethernet, PowerLink, and PCI® Express), a motor-control FPGA mezzanine card (FMC) with built-in Texas Instruments motor drivers and high-precision Delta-Sigma modulators, and Prototyping support for evaluating alternative front-end circuitry.

    標(biāo)簽: 賽靈思 電機(jī)控制 開(kāi)發(fā)套件 英文

    上傳時(shí)間: 2013-10-28

    上傳用戶(hù):wujijunshi

  • Lua is a powerful, light-weight programming language designed for extending applications. It is also

    Lua is a powerful, light-weight programming language designed for extending applications. It is also frequently used as a general-purpose, stand-alone language. It combines simple procedural syntax (similar to Pascal) with powerful data description constructs based on associative arrays and extensible semantics. Lua is dynamically typed, interpreted from bytecodes, and has automatic memory management with garbage collection, making it ideal for configuration, scripting, and rapid Prototyping.

    標(biāo)簽: applications light-weight programming extending

    上傳時(shí)間: 2016-01-13

    上傳用戶(hù):1101055045

  • The Cyclone® III PCI development board provides a hardware platform for developing and prototypi

    The Cyclone® III PCI development board provides a hardware platform for developing and Prototyping low-power, high-performance, logic-intensive PCI-based designs. The board provides a high-density of the memory to facilitate the design and development of FPGA designs which need huge memory storage, and also includes Low-Voltage Differential Signaling (LVDS) interface of the High-Speed Terasic Connectors (HSTCs) for extra high-speed interface application.

    標(biāo)簽: development developing prototypi provides

    上傳時(shí)間: 2017-01-29

    上傳用戶(hù):jjj0202

  • Lua is a powerful, fast, lightweight, embeddable scripting language. Lua combines simple procedura

    Lua is a powerful, fast, lightweight, embeddable scripting language. Lua combines simple procedural syntax with powerful data description constructs based on associative arrays and extensible semantics. Lua is dynamically typed, runs by interpreting bytecode for a register-based virtual machine, and has automatic memory management with incremental garbage collection, making it ideal for configuration, scripting, and rapid Prototyping.

    標(biāo)簽: lightweight embeddable Lua scripting

    上傳時(shí)間: 2014-01-13

    上傳用戶(hù):從此走出陰霾

  • DAKOTA

    Computational models are commonly used in engineering design and scientific discovery activities for simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock physics, and many others. These simulators can be an enormous aid to engineers who want to develop an understanding and/or predictive capability for complex behaviors typically observed in the corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system parameters, such as size or location dimensions and material properties, are adjusted to improve the performance of a system, as defined by one or more system performance objectives. Such optimization or tuning of the virtual prototype requires executing the simulator, evaluating performance objective(s), and adjusting the system parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often like to design computer experiments, run parameter studies, or perform uncertainty quantification (UQ). These approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling methods are often used in uncertainty quantification to calculate a distribution on system performance measures, and to understand which uncertain inputs contribute most to the variance of the outputs. A primary goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic and rapid means to obtain improved or optimal designs or understand sensitivity or uncertainty using simulationbased models. These capabilities generally lead to improved designs and system performance in earlier design stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product development costs. In addition to providing this practical environment for answering system performance questions, the Dakota toolkit provides an extensible platform for the research and rapid Prototyping of customized methods and meta-algorithms

    標(biāo)簽: Optimization and Uncertainty Quantification

    上傳時(shí)間: 2016-04-08

    上傳用戶(hù):huhu123456

主站蜘蛛池模板: 龙江县| 隆回县| 牙克石市| 枞阳县| 乌拉特前旗| 龙门县| 青阳县| 昭通市| 湘潭县| 洞口县| 武强县| 平昌县| 蒙城县| 内乡县| 辰溪县| 呼伦贝尔市| 丹阳市| 浦江县| 桑植县| 循化| 武夷山市| 曲阜市| 体育| 晋宁县| 福建省| 恩施市| 库车县| 达州市| 哈尔滨市| 临颍县| 朝阳市| 呼图壁县| 淄博市| 秦安县| 库车县| 仲巴县| 扬中市| 漠河县| 株洲县| 凤山市| 奈曼旗|