Fundamentals of Data Acquisition

In Fundamentals of Data Acquisition, you'll learn ...

• Aliasing: cause and consequences
• Anti-aliasing filters
• Types of analog-digital converters

Overview

Preview a portion of this course before purchasing it.

Credit: 1 CPD

Length: 10 pages

Data acquisition systems are common in nearly all areas of science and engineering, from research laboratories to production lines. The cost of data acquisition equipment continues to decrease, while performance improves. The equipment is used in measurement, communications, and many other applications. Despite their prevalence and apparent ease-of-use, data acquisition systems can provide incorrect results when improperly selected or used – an occurrence that is much more common than one might expect. This course presents the fundamental principles of data acquisition and will benefit anyone specifying, selecting, or using data acquisition equipment.

The course features graphical depictions of key concepts including time- and frequency-domain plots of aliasing as well as common filter types. The most common analog-digital converter architectures are introduced and their relative features compared and contrasted. The course also provides valuable reference information.

Learning Objectives

Upon completion of this course, participants will be able to:

• Analyze aliasing, including its cause and consequences, and determine the resulting implications for system performance or safety.
• Define anti-aliasing filters and demonstrate understanding through an assessment question or scenario.
• Identify types of analog-to-digital converters with sufficient accuracy to distinguish them from related concepts.

Certificate of Completion

You will be able to immediately print a certificate of completion after passing a multiple-choice quiz consisting of 10 questions. CPD credits are not awarded until the course is completed and quiz is passed.