J.Y. BEYON, "Labview programming data acquisition and analysis", (with CD ROM), 08-2000, 342 pages.
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Livre : [LIVRE235]

Titre : J.Y. BEYON, Labview programming data acquisition and analysis, (with CD ROM), 08-2000, 342 pages.

Cité dans :[THESE095]
Auteur : Jeffrey Y. Beyon, Christopher Newport University, Newport News, Virginia.

Stockage : Bibliothèque LMP
Fiche : LMP2001-xx
Référence : 2001-xx/LMP
Date_d'achat : 15 mars 2001
Prix_H.T. : 518.74

Date : 08-2000
Support : Livre
Langue : ANGLAIS
Pages : 1 342
Format : 18x23
ISBN : 0-13-030367-4
Prix : 498.00 FRF / 75.92 euros
Site : http://www.lavoisier.fr
Lien : Beyon.jpg - image, 9 Ko.
Lien : Labview.txt - Recherche du 19 septembre 2001.
Lien : private/BEYON.pdf - Chapter 4, 866 Ko, 22 pages
Lien : ERRATA_121700.pdf - 83 Ko.
Lien : INDEXBEYON.pdf - 33 Ko.

Résumé :
This book is an easy, hands-on guide to LabVIEW programming and data analysis. The author covers every key technique needed to build reliable, high-performance applications.

Vers : Features
Vers : Preface
Vers : Table of Contents
Vers : Annotation
Vers : Author Bio
Vers : Back Cover Copy
Vers : PTR Overview
Vers : Sample Chapter
Vers : Errata

From : http://vig.pearsoned.com/store/product/0,,store-562_banner-0_isbn-0130303674,00.html

Beyon.jpg - 9 Ko


Features

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Learn LabVIEW programming from the ground up.
A complete discussion of practical aspects and tricks in LabVIEW programming such as memory management, and large file
management are included.
Complete list of template examples for important topics such as data save/read for data acquisition or data conversion for
instrumentation.
Quickly gets the reader up-to-speed on LabVIEW programming language and ready to work on data acquisition and analysis projects.
Handy tips and tricks on common errors help the reader troubleshoot projects before they begin.
Part of the National Instruments Virtual Instrumentation Series.


Preface

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LabVIEW Programming, Data Acquisition and Analysis first edition, is intended as an introductory text for students who wish to learn LabVIEW as
part of their programming repertoire. It has also been written to serve practicing engineers, scientists, and researchers, and even those who have been
programming with LabVIEW, who wish to learn LabVIEW programming from the ground up or update their knowledge on different techniques of
G-programming.

The book was started as a reference book for the biannual G-programming workshop that I offer to the local research community as well as a
supplementary textbook for an introductory computer science class that I have taught. The ultimate goal of this book is to provide the most important
aspects of LabVIEW programming to the research community and students, whether it is for scientific programming or for personal use and experience,
in the most concise way so that readers can quickly start programming with LabVIEW.


Philosophy

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There have already been many books published on LabVIEW programming, so why bother writing another one? The philosophy behind this book was
not to write a huge volume with everything in it, nor to write a narrowly-focused technical manual. LabVIEW is a programming language, often referred
to as G-language, and what beginning users need is to get the most essential techniques and understanding about where and how to start. Once the
programming gets going, programmers can usually improve their skills on their own since they then know where to go with their questions and
problems.

When the intention of a book is to deliver the most knowledge in the most concise way, caution must be exercised not to be so abstract that the book
skips details about important topics, nor to be so verbose that the readers lose their focus. So the challenge in completing this book was to screen the
topics that must be covered, and to present the material in layperson's terms so that anyone could understand them easily.

Programming should be fun; so should the learning process. If the learning part becomes wearisome, the fun in programming will never be
accomplished. However, nothing can be fun at all times, so some material in this book may appear to be dull or dry. In these sections, every possible
effort has been made to make them concise without losing the integrity of the information. Any topic that seemed to be useful only in rare cases was
excluded.

If a book is about software, it can quickly become outdated as newer versions are introduced. In order to avoid such a case, all of the topics in this
book are carefully selected and presented so that readers can comfortably apply the techniques to their applications regardless of their versions of
LabVIEW. Such an effort can be seen clearly in many chapters, especially those about data acquisition. The result of such an endeavor is a book with
key concepts in programming with LabVIEW. On the other hand, all of the examples and exercise problems are carefully selected so that they are not
too general. The outcome of such an effort is template-like examples, especially in the latter part of this book, such as Chapters 11, 12, 14, and 15. The
examples in the latter chapters naturally seem to be more practical and more directly related to real applications, since the early part of this book covers
the basic tools of G-programming. Most of the examples are based on actual applications that I have written for private companies, so their usefulness
should be apparent.

LabVIEW is a great programming language. It allows programmers to develop an application, either with or without data acquisition and instrument
control, in the shortest time period with the greatest amount of functionality. When I first encountered LabVIEW, however, that was not my first
impression since I was more used to text-based programming languages. It looked different, but did not seem to be as powerful. (Icons for
programming?) However, it did not take long to upset such a prejudice. It is not too difficult to find consultants or LabVIEW programmers who try to
do everything in their applications with LabVIEW. Therefore, I strongly believe that readers will soon agree with many experienced LabVIEW
programmers and myself about the unlimited capability of LabVIEW.

During the process of completing this book, I kept in mind one thought: "Remember when I was first learning LabVIEW." Without putting yourself in
other people's shoes, you never understand their problems. Interestingly enough, people tend to forget about their past problems once they solve
them. However, I remembered my experiences with learning LabVIEW throughout the entire period of preparation for this book. Therefore, the book
may sometimes seem to be too descriptive, especially to those with previous experience in LabVIEW, but this is intentional because most readers will
not have had such experiences, and what seems to be obvious to one person may not be so to others.

As for the chapters about data acquisition and instrument control, all of the examples that come with LabVIEW are categorized by their functionality. I
believe that it is often a waste of time to write a data acquisition or instrument control application from scratch. Instead, the examples in LabVIEW
should be either directly implemented or used as a starting point. It is important to learn how to modify them for your application, not how to build
them from the ground up. Such a strategy applies not only to data acquisition and instrument control cases, but to any application in general.
Therefore, a categorized list follows immediately after the detailed discussion about each topic.

This book contains many examples as a template for your future use. If the examples were complete, they would most likely look so complicated that
readers would hesitate even to study them in the first place. To make matters even worse, a complete example can hardly be useful for your application
unless your application is exactly the same as what is shown in that particular example. Such complete examples can be used to show what can be done
with LabVIEW, but they often become a mere showoff. Based on such a belief, all of the examples are carefully written so that they are simple enough
to be understood, but their objective remains apparent. Then they can easily be expanded by readers for their own applications. Chapter 15, in
particular, illustrates many examples that are extracted from actual applications written in LabVIEW and modified so that they show a unique
functionality with a simple look. This is one of the most important principles behind this book: maintaining the simplicity for easy understanding and
expandability while keeping each example practical and meaningful. (You are reading this because you want to learn something that can be used for
your application, not to be impressed by LabVIEW.) Also, the content in this book is independent of different versions of LabVIEW and different
platforms except for the locations of some VIs and functions. (VI stands for Virtual Instrumentation, which is the basic file unit in LabVIEW.) For
instance, the Analysis subpalette in the Functions palette has been divided into two new subpalettes, Signal Processing and Mathematics, with some
new VIs in LabVIEW 5.1. The information about such changes can be found in your LabVIEW package, and you can concentrate on learning the
material in this book.

To summarize, this book is written to help anyone who intends to learn G-programming with LabVIEW, and start programming in the least amount of
time while learning the most important aspects of LabVIEW programming. The topics are carefully selected so that readers can do almost anything with
those covered in this book. The examples are extracted from the actual applications that I have written for companies and can be used as a template for
your application. Data acquisition and instrument control chapters include lists of categorized LabVIEW examples, so that readers can easily decide
which one to use where and when, after modifying them. The content in this book is independent of the version of LabVIEW, although version 3.0 or
higher is recommended. The changes in the locations of some functions and VIs of LabVIEW can be found in your LabVIEW package.

Last but not least, LabVIEW is a powerful language, and it is worth spending some time on mastering it. I hope this book helps bring all readers the full
power and the exultation of G-programming.


Key Features

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The major features of this book are the exercise problems at the end of each chapter except Chapters 1 and 15, and the accompanying hands-on
exercise manual, which comes with a set of complete solution VIs. Also, an evaluation copy of LabVIEW is included on the accompanying CD-ROM,
and readers can test or create their VIs with limited functionality.


End-of-Chapter Problems

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Whenever needed, a proper example is provided in the body of each chapter with step-by-step instructions. In addition to that, more problems are
included at the end of each chapter, except for Chapters 1 and 15. If you intend to teach LabVIEW in a formal classroom environment, those exercise
problems can be useful for weekly assignments or as stepping stones for term projects. Each problem set covers the material in each corresponding
chapter, and the solutions to all of the problems are available to instructors upon their request. Any learning process cannot be complete without
practice, and those problems will uphold such a principle.


LabVIEW Evaluation Copy on CD-ROM

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The accompanying CD-ROM contains an evaluation copy of LabVIEW with limited functionality. Therefore, even if you do not own the full version,
you may be able to complete and run most of the examples in this book with the evaluation copy. Some of the examples may require the full version of
LabVIEW to run.


Accompanying Hands-on Exercise Manual

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This is an extended version of the exercise manual that is being used for the biannual G-programming workshop that I have been offering to the
research community in Virginia. Each problem has step-by-step instructions on how to create it, and the solutions to all of the problems are available.
This manual is divided into six sections, and each one is designed to be finished each day, completing the entire sections within six days. The
problems cover a broad range of important topics in G-programming: from the simple wiring technique to a complicated programming example,
including data acquisition and instrument control. The problems for data acquisition are designed in such a way that any data acquisition device can
be used.


Contents of the Book

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Chapter 1 begins with a brief review of the history of computers and programming languages since they are closely related. Following the review, the
result of a case study is presented, where a comparison test was performed between LabVIEW and C++ on a group of college students. The purpose
of such a case study was to see if a graphical language such as LabVIEW would have any benefit in the programming language and concept learning
process over the text-based programming languages. Then the conventions in this textbook are summarized.

Chapter 2 introduces the basic structure of LabVIEW source files that have the extension .vi (Virtual Instrumentation) and continues with the objects
in the Controls palette, and the functions and the VIs in the Functions palette. The importance of using shortcuts is discussed along with a list of
useful ones.

Chapter 3 explains the concept behind sub VIs and how to create them. The various user option settings of sub VIs are presented and studied in detail.
The effect of each of the settings and where it can be used are also discussed.

Chapter 4 explores the loops and conditional statements of LabVIEW. The unique features, such as autoindexing and shift registers, and the
differences from those of text-based languages are highlighted. Also, Global Variables and Local Variables of LabVIEW are presented and compared
to those of text-based languages. Since LabVIEW represents programming graphically in a two-dimensional diagram window, the execution order can
sometimes be opaque and nebulous. Such a problem can be resolved by using the Sequence structure, and a detailed discussion about its usage is
presented in this chapter.

Chapter 5 examines different ways of displaying data and explains different situations where each type is preferred to the others. It also describes how
to prepare the data properly so that user specifications, such as display scales of each axis can be reflected correctly on the graphs. Such user
specification can be controlled programmatically by Attribute Nodes, and their properties are explored in this chapter, too.

Chapter 6 introduces the two commonly used data types in LabVIEW: arrays and clusters. Each type has its advantages and disadvantages, and they
are discussed in detail. Due to the similarity between the two types, LabVIEW functions for the two types are compared to distinguish them clearly.
The correlation between memory usage and arrays and clusters is also studied.

Chapter 7 presents the prerequisite material for data acquisition, including sampling theorem, a brief preview of data acquisition VIs, different types of
input signal modes, and different types of data acquisition, such as analog input, analog output, digital input and output, and counter operation. The
sampling theorem is formally defined, and the effects of ideal sampling using the impulse train and of practical sampling using a square pulse train are
mathematically driven for interested readers. This chapter also discusses what to look for when selecting a data acquisition device.

Chapter 8 provides detailed discussion of data acquisition. The first category of data acquisition, analog input (AI), is studied in detail. As mentioned
earlier, all of the examples of LabVIEW pertaining to AI are categorized based on their functionality. Such an effort is made in order to help readers
choose which one to use easily, since the size of the example pool is so large that it can be somewhat frustrating to find the proper one. The selection
of the LabVIEW examples covers almost all of the possible data acquisition methods; therefore, learning how to use or modify which example should
be your top priority, instead of building a new VI from scratch. Of course, a detailed discussion about each AI VI is presented for those who prefer to
start a completely new VI on their own. However, it is worth emphasizing again that adapting prewritten LabVIEW examples to your application should
be the first attempt.

Chapter 9 deals with the second category of data acquisition, analog output (AO), and comprises the complete discussion of every aspect of AO. All
of the prewritten LabVIEW AO examples are studied and categorized based on their functionality. Due to the number of examples available, the sorted
list will assist readers in deciding which one to select. In addition to the list of categorized AO examples, a detailed discussion of AO VIs is also
presented for those who prefer to build their own AO application.

Chapter 10 covers the last two categories of data acquisition: digital input and output and counters. Different types, such as handshaking and pattern
generation, of digital input and output acquisition methods are defined and studied. Buffered and non-buffered digital acquisition techniques are also
illustrated using LabVIEW examples. A variety of tasks that can be performed using counters on a data acquisition board are described individually in
detail. Some examples include frequency measurements of high and low frequency Transistor Transistor Logic (TTL) signals, event counting where
counting the number of high states is the goal of the operation, and continuous or single burst TTL signal generation. All of the prewritten LabVIEW
examples are again categorized in addition to the detailed discussion about the VIs to help readers create their own application.

Chapter 11 discusses one of the most important tasks in data acquisition: saving or reading data to or from a file. Without knowing how to save the
data, all of the painstaking hours of the data acquisition process can turn out to be nothing but a waste of time. This chapter illustrates all of the
possible ways of saving and reading data with template-like examples, and they can be implemented directly without any modification. Since all of the
templates are using basic LabVIEW functions and VIs, readers can easily add more functionality to them at their will. Such intention also coincides
with one of the most important principles of this book: being simple, but practical and meaningful.

Chapter 12 can be considered as a continuation of Chapter 11 since file input and output are closely related to string manipulation. This chapter also
plays an important role in instrument control, which is the topic of the following chapter. In order to write the data in a meaningful way, the data need
to be prepared properly, either before being saved or after being read. This chapter covers all of the techniques necessary to complete such
preparation stages.

Chapter 13 introduces instrument control with LabVIEW. The functions and the VIs for General Purpose Interface Bus (GPIB), serial communication,
and Virtual Instrument Software Architecture (VISA) are closely studied. Some simple troubleshooting procedures for serial communication are
presented in this chapter.

Chapter 14 covers a variety of data analysis techniques. In the early part of the chapter, some important data analysis theories are reviewed for
interested readers. The categories are linear and nonlinear system analysis, stochastic and deterministic data analysis, and time and frequency data
analysis. Also, some useful digital signal processing techniques, such as decimation and interpolation, are reviewed. Then matrix and vector
representation of data is discussed to prepare readers for linear algebra VIs, followed by the study of analysis VIs in LabVIEW. Some of the topics may
seem too advanced for some readers, but they can safely be skipped without any deficiency in learning G-programming techniques, and readers can
proceed to the analysis VI section.

Chapter 15, the last chapter of the book, covers many issues in creating application and stand-alone executables and concludes with an overall review
and many additional important issues of G-programming, which are not covered in the previous chapters. It also presents several practical examples
that are actually being used in many real-world applications. Readers will find those examples unique and directly applicable to their applications with a
great amount of flexibility. Examples include dynamic sub VI load and unload, creating a professional startup screen, toggle switch design, and many
more. Chapter 15 also presents an in-depth discussion about maximizing the efficiency of applications. How to cope with the overhead incurred by the
large size of VIs is also one of the unique topics in this chapter. Some possible workarounds are suggested along with a test result. The last topic
pertains to Application Builder, which allows LabVIEW users to create a stand-alone executable from a VI. Detailed discussion of its feature is included
to assist readers in using it properly.

This book includes two appendices, which contain the material that could not be included in the main body of a chapter. Appendix A contains
step-by-step instructions on how to create a Code Interface Node using Code Warrior Professional Release on Power Macintosh platforms, and
sample C++ codes for 1-D array and 2-D array cases are attached at the end. Appendix B consists of the front panels and the diagram windows of each
sub VI that are used for the error handler design example presented in Chapter 15. Those sub VIs can be used as a template to create your own error
handler VIs.


Flexibility in Coverage

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Chapters 7 through 10 cover data acquisition, and Chapter 13 discusses instrument control. Therefore, if you are reading this book only for general
programming with LabVIEW, you can skip those chapters. In addition, you can skip Chapter 14 if data analysis is not the purpose of your application.
However, you should cover Chapter 15 regardless of your application type, since it covers many important topics that every LabVIEW programmer
should know.

If you are using this book to teach yourself LabVIEW, you can first review each chapter while duplicating examples introduced in each chapter. Then
you can use the exercise problems in the accompanying hands-on exercise manual to complete the learning process. The two books can be covered in
parallel, too, since the order of topics in them is relatively independent.

If you intend to teach LabVIEW in a semester-long class, either as supplementary material or as a main topic, you can teach each chapter and as-

sign the end-of-chapter problems as weekly homework. The solutions to these problems are available to instructors upon their request by email to
jbeyon@pcs.cnu.edu. All of the topics except for those in Chapter 14 can be covered regardless of the level of students. Some of the material in Chap-

ter 14 may not be suitable for those without any system theory or stochastic data analysis background; therefore, the coverage of Chapter 14 can be
optional. The examples in each chapter, especially in Chapter 15, can be used as a stepping stone for a project assignment. For example, students may
be assigned to write a professional database application as a term project, utilizing all of the topics and techniques covered in Chapters 2 through 15,
excluding Chapters 7-10, and 13-14.

The hands-on exercise manual can also be used in a week-long short course where both data acquisition and data analysis techniques are covered. In
such a case, this book can be used as a reference, and each section in the hands-on exercise manual can be covered on a daily basis.


Table of Contents

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1. Graphical Language.
History of Computers and Languages. Graphical Programming Language LabVIEW. Results of Case Study. Conventions.

2. Structure of VI.
Front Panel and Diagram Window. Objects in VI: Controls and Indicators. Wiring Technique. Tools, Controls, and Functions Palettes. PROBLEMS.

3. Sub VI.
Definition of Sub VI. Creating a Sub VI. Creating Online Help Text for a Sub VI. Security Settings of a Sub VI. Option Settings of a Sub VI. SubVI
Node Setup. Alternative Way of Creating a Sub VI. PROBLEMS.

4. Loops and Conditional Statements.
For Loop. While Loop. Case Structure. Case Structure with Multiple Frames. Sequence Structure. Global Variable and Local Variable. Formula Node.
Autoindexing and Shift Register. PROBLEMS.

5. Data Display.
Waveform Chart. Waveform Graph. XY Graph. Intensity Chart and Intensity Graph. PROBLEMS.

6. Arrays and Clusters.
Arrays. Clusters. Comparison of Functions. PROBLEMS.

7. Prerequisite for Data Acquisition.
Sampling Theorem. Analog Input Signal. Data Acquisition Hardware and Driver Software. Specification of Hardware. PROBLEMS.

8. Data Acquisition: Analog Input.
Sampling Signals. AI Acquire Waveform.vi (High-Level VI). Modifying High-Level VIs. High-Level Analog Input VIs. Intermediate-Level Analog
Input VIs. Software Timing and Hardware Timing. Buffered and Nonbuffered Acquisition. Gain and Channel String for Analog Input. Triggered
Acquisition. Acquisition with External Clock. Analog Input Utility VIs. DAQ Occurrence. PROBLEMS.

9. Data Acquisition: Analog Output.
Signal Generation. Analog Output Utility VIs. High-Level Analog Output VIs. Intermediate-Level Analog Output VIs. Single/Circular-Buffered
Waveform Generation. Gain and Channel String for Analog Output. Triggered AO and Simultaneous AI/AO. Waveform Generation with External
Clock. PROBLEMS.

10. Data Acquisition: Digital I/O and Counters.
Relays and Switches (Digital I/O). Data Acquisition with Counters. PROBLEMS.

11. File Input and Output.
High-Level File I/O VIs. Intermediate-Level File I/O VI and Functions. Additional File I/O Subpalettes. Writing 1-D Data in Binary Format. Reading
1-D Binary Data. Writing 1-D Data in Binary Format Continuously. Reading 1-D Binary Data Continuously. Writing 2-D Data in Binary Format.
Reading 2-D Binary Data. Writing/Reading 2-D Binary Data Continuously. Writing Data in ASCII Format. Reading ASCII Data. Writing Data in
ASCII Format Continuously. Writing Data in Both ASCII and Binary Format. Reading a Mixture of ASCII and Binary Data. Two Easy Ways to Save
Data. PROBLEMS.

12. String Manipulation.
Format & Append and Format & Strip. Format Into String and Scan From String. Conversion between Array and Spreadsheet String. Conversion of
Binary String to Numeric Data. PROBLEMS.

13. Instrument Control.
GPIB (IEEE-488). RS-232, RS-449, RS-422, and RS-423. VISA. Functions for GPIB. VIs for Serial Communications. Functions and VIs for VISA.
Testing Serial Communication. Parallel Port for Serial Communication. String Data from Instruments. PROBLEMS.

14. Data Analysis.
Linear and Nonlinear System Analysis. Stochastic and Deterministic Data Analysis. Time and Frequency Domain Data Analysis. Matrix and Vector
Representation of Data. Analysis Subpalettes. PROBLEMS.

15. Building an Application.
Palette Customization. Occurrences. Memory Management. Use of C/C++ Codes in LabVIEW. Building an Application. Suggestions for Further
Reading.

Appendix A: CIN and Code Warrior for Power Macintosh.
Creating a CIN using Metrowerks Code Warrior. Simple C++ Code for 1-D Array Data Type. Simple C++ Code for 2-D Array Data Type.

Appendix B: Error Handler Design.
Index.
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Annotation

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This book was written for college students, fields engineers and researchers. The book covers the must part of LabVIEW programming in the first few
chapters to get the audience ready for latter chapters where data acquisition and data analysis are discussed.


Author Bio

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JEFFREY BEYON is Assistant Professor in the Computer Engineering Department at Christopher Newport University. His research specialties include
Statistical Array Signal Processing and Automatic Speech Recognition and Understanding. Since 1998, he has also consulted and provided workshops
to NASA, Langley, and other leading organizations.


Back Cover Copy

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Master LabVIEW programming — hands-on!
Learn through real-world data acquisition and analysis applications
Dozens of key techniques presented through easy-to-adapt templates
Extensively classroom-tested with professional engineers
CD-ROM: Tools, templates, and complete LabVIEW evaluation version

Master LabVIEW programming from the ground up — fast!

LabVIEW Programming, Data Acquisition and Analysis is your easy, hands-on guide to LabVIEW programming and data analysis. Whether you're
learning LabVIEW from the ground up, or updating knowledge you already have, Jeffrey Beyon covers every key technique you need to build reliable,
high-performance applications. You'll start with the basics: the structure of LabVIEW source files; using sub VIs; loops and conditional statements;
data display; data types; and the prerequisites for data acquisition, including sampling theorems and data acquisition VIs. Next, Beyon covers every
key category of data acquisition and analysis application — analog and digital, input and output. Coverage includes:

Practical techniques for data save/read, data conversion, and much more
Tips and tricks for memory management, large file management, and more
Implementing each leading data analysis VI
Instrument control, counters, and more
Avoiding and troubleshooting common LabVIEW programming problems

Most examples are presented in the form of software templates that are easy enough to understand quickly, and robust enough to serve as building
blocks for real-world solutions. You'll find detailed, end-of-chapter review questions; an accompanying lab workbook is also available. Whether you're
a field engineer, scientist, researcher, or student, there's no faster way to get results with LabVIEW!


CD-ROM INCLUDES:

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Complete library of LabVIEW tools and templates
Full LabVIEW evaluation version

Companion lab workbook: Hands-On Exercise Manual for LabVIEW Programming, Data Acquisition and Analysis


PTR Overview

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This is the first easy, hands-on guide to mastering LabVIEW G-programming and data analysis, for professionals who want to learn LabVIEW from the
ground up, or update the knowledge they already have. KEY TOPICS: Based on the author's extensive experience teaching LabVIEW to both
professionals and students, this book focuses on the key concepts and techniques engineers need to build successful data acquisition and analysis
applications -- from the simplest to the most complex. Coverage includes: the basic structure of LabVIEW source files; creating and working with sub
VIs; loops and conditional statements; displaying data; working with data types; and the prerequisites for data acquisition, including sampling
theorems and data acquisition VIs. Once readers understand these fundamentals, Beyon introduces each key category of data acquisition and analysis
application, including Analog Input and Output, Digital Input and Output, Counters, techniques for saving and reading data, file I/O, instrument
control, implementing each leading data analysis VI, and more. Most examples are presented in the form of software templates that are simple enough
to understand quickly, but robust enough to serve as the building blocks for real-world data acquisition and analysis solutions. The book includes
detailed, end-of-chapter review questions, as well as a CD-ROM containing all the templates covered in the book, along with the newest LabVIEW
evaluation software. MARKET: For all practicing field engineers, scientists, and researchers who want to learn LabVIEW G programming for data
acquisition and analysis applications.


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