The #1 Step-by-Step Guide to labviewNow Completely Updated for labview 8! Master labview 8 with the industry's friendliest, most intuitive tutorial: labview for Everyone, Third Edition. Top labview experts Jeffrey Travis and Jim Kring teach labview the easy way: through carefully explained, step-by-step examples that give you reusable code for your own projects! This brand-new Third Edition has been fully revamped and expanded to reflect new features and techniques introduced in labview 8. You'll find two new chapters, plus dozens of new topics, including Project Explorer, AutoTool, XML, event-driven programming, error handling, regular expressions, polymorphic VIs, timed structures, advanced reporting, and much more. Certified labview Developer (CLD) candidates will find callouts linking to key objectives on NI's newest exam, making this book a more valuable study tool than ever. Not just what to d why to do it! Use labview to build your own virtual workbench Master labview's foundations: wiring, creating, editing, and debugging VIs; using controls and indicators; working with data structures; and much more Learn the "art" and best practices of effective labview development NEW: Streamline development with labview Express VIs NEW: Acquire data with NI-DAQmx and the labview DAQmx VIs NEW: Discover design patterns for error handling, control structures, state machines, queued messaging, and more NEW: Create sophisticated user interfaces with tree and tab controls, drag and drop, subpanels, and more Whatever your application, whatever your role, whether you've used labview or not, labview for Everyone, Third Edition is the fastest, easiest way to get the results you're after!
上传时间： 2013-10-14
上传用户：shawvi
ARM（Advanced RISC machines）是微处理器行业的一家知名企业，设计了大量高性能、廉价、耗能低的RISC处理器、相关技术及软件。技术具有性能高、成本低和能耗省的特点。适用于多种领域，比如嵌入控制、消费/教育类多媒体、DSP和移动式应用等。 ARM将其技术授权给世界上许多著名的半导体、软件和OEM厂商，每个厂商得到的都是一套独一无二的ARM相关技术及服务。利用这种合伙关系，ARM很快成为许多全球性RISC标准的缔造者。
上传时间： 2013-11-19
上传用户：偷心的海盗
核磁共振(NMR)是重要的检测手段和分析手段之一。随着其应用领域的拓展和 深入，核磁共振谱仪技术也不断地发展和完善。常规商业化谱仪虽然功能强大，但 是谱仪结构复杂，体积庞大，价格昂贵，因此限制了NMR技术的应用场合。而在许 多应用场合，比如教学中，往往需要一种结构简单，体积小巧，价格便宜，集成度 高的一体化核磁共振谱仪。 而随着A跚(Advanced RISC machines)技术的发展与成熟，本文提出了一种用 于磁共振成像系统的，基于A刚的一体化核磁共振成像谱仪的设计方案。提供了谱 仪各部分的实际性能测试的结果和谱仪整体工作的成像实验结果，并对研制和实验 结果进行了讨论。 本论文主要内容如下： 第一，主要介绍了核磁共振原理，核磁共振成像的原理，核磁共振成像系统的结构。 第二，介绍ARM的概念与基本原理并简要介绍了相关的软件。 第三，介绍了一体化谱仪的研制过程，并分别从母板和核心板两部分的硬件部分设 计与软件部分设计上进行了相应的描述。 第四，介绍本谱仪系统的性能测试结果，并总结调试心得与现有问题，并对以后提出展望。 有关核磁共振更多知识请查看：医学影像设备
上传时间： 2013-11-06
上传用户：hanwudadi
This white paper discusses how market trends, the need for increased productivity, and new legislation have accelerated the use of safety systems in industrial machinery. This TÜV-qualified FPGA design methodology is changing the paradigms of safety designs and will greatly reduce development effort, system complexity, and time to market. This allows FPGA users to design their own customized safety controllers and provides a significant competitive advantage over traditional microcontroller or ASIC-based designs. Introduction The basic motivation of deploying functional safety systems is to ensure safe operation as well as safe behavior in cases of failure. Examples of functional safety systems include train brakes, proximity sensors for hazardous areas around machines such as fast-moving robots, and distributed control systems in process automation equipment such as those used in petrochemical plants. The International Electrotechnical Commission’s standard, IEC 61508: “Functional safety of electrical/electronic/programmable electronic safety-related systems,” is understood as the standard for designing safety systems for electrical, electronic, and programmable electronic (E/E/PE) equipment. This standard was developed in the mid-1980s and has been revised several times to cover the technical advances in various industries. In addition, derivative standards have been developed for specific markets and applications that prescribe the particular requirements on functional safety systems in these industry applications. Example applications include process automation (IEC 61511), machine automation (IEC 62061), transportation (railway EN 50128), medical (IEC 62304), automotive (ISO 26262), power generation, distribution, and transportation. 图Figure 1. Local Safety System
上传时间： 2013-11-14
上传用户：zoudejile
This Application Note covers the basics of how to use Verilog as applied to ComplexProgrammable Logic Devices. Various combinational logic circuit examples, such asmultiplexers, decoders, encoders, comparators and adders are provided. Synchronous logiccircuit examples, such as counters and state machines are also provided.
上传时间： 2013-11-11
上传用户：y13567890
One of the strengths of Synplify is the Finite State Machine compiler. This is a powerfulfeature that not only has the ability to automatically detect state machines in the sourcecode, and implement them with either sequential, gray, or one-hot encoding. But alsoperform a reachability analysis to determine all the states that could possibly bereached, and optimize away all states and transition logic that can not be reached.Thus, producing a highly optimal final implementation of the state machine.
标签： Synplicity Machine Verilog Design
上传时间： 2013-10-20
上传用户：苍山观海
A windows BMP file is a common image format that Java does not handle. While BMP images are used only on windows machines, they are reasonably common. Reading these shows how to read complex structures in Java and how to alter they byte order from the big endian order used by Java to the little endian order used by the windows and the intel processor.
上传时间： 2013-12-27
上传用户：gaojiao1999
Rainbow is a C program that performs document classification usingone of several different methods, including naive Bayes, TFIDF/Rocchio,K-nearest neighbor, Maximum Entropy, Support Vector machines, Fuhr sProbabilitistic Indexing, and a simple-minded form a shrinkage withnaive Bayes.
标签： classification different document performs
上传时间： 2015-03-03
上传用户：希酱大魔王
最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999.
上传时间： 2013-12-16
上传用户：亚亚娟娟123
vhdl程序源代码，包括Combinational Logic Counters Shift Registers Memory State machines Registers Systems ADC and DAC Arithmetic等
上传时间： 2013-12-26
上传用户：363186
