Modern Instrumentation: A Computer Approach

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Modern Instrumentation: A Computer Approach

by: G Silverman, Manhattan College, New York, USA; H Silver, Fairleigh Dickinson University, New Jersey, USA


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* screen views of what to expect when using various software packages

* the only book to provide insights into the entire spectrum of computer based architectures

* invaluable reference for emerging computer based instrument technology

Modern science and engineering relies heavily on understanding computer hardware and software in order to make effective use of these tools in the laboratory and industrial environments. The authors have succeeded in producing a highly readable source that will serve both newcomers to the field as well as experienced professionals. People who use computers for data acquisition, and hardware or software development for laboratory and process control will find a wealth of information. The book includes both fundamentals and applications. The role of the computer in instrument systems is described in the first part of the book as well as a number of practical examples. The second part of this text explores specific software packages and their capabilities for such applications as: Instrument design and simulation; data acquisition; data processing; and finally the potential of artificial intelligence in instrument design. The full integration of theory with practical applications of leading software packages will make this an extremely useful reference for emerging computer based instrument technology.


Table of Contents

Preface. Fundamentals of data acquisition and instrument control. Introduction: The role of computer-based instrumentation in measurement and process control

Examples of computer-based instrumentation

Architectures of computer-based instrument systems

References. Information and its representation: Measuring information content in laboratory environments

What to consider when selecting alpha-numeric codes

Representation of abstract information

What limits information?

System capacity and sampling rate

Summary

References

Additional reading. Hardware architecture of PC-based instrument systems: Functional components of an instrument platform

Multiple-processor systems

Architecture of instruments for automated environments

The complete `computer-on-a-chip' and portable instrumentation

Choosing a PC platform

References. Software for instrument systems: Computer operating systems

The nature of programming

Applications programming languages and packages

References. Data-processing considerations: Computer-based instrument capacities

Organizing data (data structures)

Time or frequency basis of modelling

Software architectures for input/output

References. Data acquisition and instrument control resources: Transducers

Signal conditioning

Telemetry

Data conversion

Instrument control: digital I/O

References. Applied instrumentation automation. Design aids - SPICE: Introduction

Elementary circuit examples

Operational amplifier subcircuits and applications

Device modelling

Fourier analysis

Use of the PROBE utility

References. Design Aids - MathCAD, MATLAB: Introduction

Elementary operations

Graphing with MathCAD

Equation solving

Fourier series and discrete fourier transforms

Signal detection in noise

Data analysis tyechniques

File transfer between MathCAD and a spreadsheet

An introduction to MATLAB

References. Design aids - DSPlay: Introduction

DSPlay features

Spectral analysis of a simple signal

Adding and multiplying signals

Convolution and filtering

Signal detection in noise

References. Spreadsheets: Lotus 1-2-3: Introduction

Lotus 1-2-3 features

Tabulating and graphing a formula

Data analysis techniques

Signal detection in noise

Use of macros

References. A graphical user interface development tool: LabWindows: Introduction

Data analysis and data presentation examples

Data-acquisition examples

References. The windows operating environment: Introduction

Windows application programs

Data transfer between windows applications

References. Fully integrated applications: Introduction

Data acquisition using Lotus and Lotus measure

Measurement of optical fibre bandwidths using LabWindows.


"...a wide-angle snapshot of the instrumentation needs within the biomedical, scientific and engineering communities...a good, broad background education for those scientists and engineers new to computer-based instrumentation."
Scientific Computing World

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