Data Acquisition Systems

Data Acquisition Systems
Author: Maurizio Di Paolo Emilio
Publisher: Springer Science & Business Media
Total Pages: 150
Release: 2013-03-21
Genre: Technology & Engineering
ISBN: 1461442141

Download Data Acquisition Systems Book in PDF, Epub and Kindle

This book describes the fundamentals of data acquisition systems, how they enable users to sample signals that measure real physical conditions and convert the resulting samples into digital, numeric values that can be analyzed by a computer. The author takes a problem-solving approach to data acquisition, providing the tools engineers need to use the concepts introduced. Coverage includes sensors that convert physical parameters to electrical signals, signal conditioning circuitry to convert sensor signals into a form that can be converted to digital values and analog-to-digital converters, which convert conditioned sensor signals to digital values. Readers will benefit from the hands-on approach, culminating with data acquisition projects, including hardware and software needed to build data acquisition systems.

Computerized Data Acquisition and Analysis for the Life Sciences

Computerized Data Acquisition and Analysis for the Life Sciences
Author: Simon S. Young
Publisher: Cambridge University Press
Total Pages: 248
Release: 2001-01-29
Genre: Science
ISBN: 9780521565707

Download Computerized Data Acquisition and Analysis for the Life Sciences Book in PDF, Epub and Kindle

Computerized data acquisition systems are often the principal method of recording experimental results. This book takes the reader step-by-step through the process of data acquisition and analysis, explaining how to set up the systems and obtain useful information from the data recorded. In an easy-to-read style, the author guides researchers through the basics of data acquisition systems, explaining the important underlying concepts, and giving numerous examples of how to analyze the recorded information. While aimed at researchers in the life sciences, the topics covered are general and will be valuable to anyone interested in learning to use data acquisition systems. The principles can be applied to the collection of data from respiratory apparatus to behavioral science experiments, and a host of other situations. Many illustrations and worked examples accompany the text, and the mathematics are kept simple. This book is an invaluable tool for the nonengineer who is collecting and analyzing experimental data using data acquisition systems. Researchers, graduate students, and technicians will find it an up-to-date and indispensable guide for setting up equipment and getting the most out of their data.