Data Acquisition Fundamentals


Signal Conditioning

 

Improving Measurement Quality with Signal Conditioning
Download this white paper and learn about the most common types of signal conditioning used in data acquisition.

When measuring real-world physical phenomenon, signal conditioning is a prerequisite for correctly processing the electrical signals from the sensor and improving the overall quality of the data. Just as wheat grown in the field requires much processing before appearing as bags of flour in the grocery store, raw signals must be cleaned up, transformed, and properly adjusted to become a usable output that humans and machines can understand.

This white paper explains the best practices and proper application of the seven major signal conditioning types. Understanding the unique characteristics of each technique will help improve the measurement accuracy of your data acquisition system.

Learn more about:

  • Analog Front-End Topology
  • Instrumentation Amplifiers
  • Filtering
  • Attenuation
  • Isolation
  • Linearization
  • Circuit Protection

Registration is required to download PDFs. If you have previously registered for anything on our Web site, have visited within the last 90 days, and have not cleared your cookies, you can immediately begin downloading. If you have not registered in the past, please take a moment to fill out our PDF Registration form.