The Principles of Boxcar Averaging

Capturing low-duty-cycle pulsed signals with high quality is crucial for many applications in optics and photonics, nanotechnology and materials science, quantum technologies, scanning probe microscopy, and sensing. Boxcar averagers are attractive tools to achieve a high signal-to-noise ratio (SNR) in a minimal amount of measurement time when working with low-duty-cycle signals. Such signals contain relevant information in a short time interval, while the rest of the period contains only noise. A boxcar averager captures the signal from a well-defined temporal window in each period, meaning that all signal components outside of that window are rejected.

Principles of Boxcar Averaging

Video credit: Zurich Instruments

Unlike a digitizer or an oscilloscope, the measurement results are immediately available in the digital domain and as analog signals with a user-defined offset and scaling factor. Moreover, integrated PID controllers can process the results to create feedback loops and a lock-in amplifier unit can perform demodulation on the boxcar results if an additional modulation is present.

In this app note, we illustrate the working principle of a digital boxcar averager, discuss the relevant measurement parameters, and provide guidelines for the best choice of measurement technique when working with periodic signals.

Read Full App Note

 

This information has been sourced, reviewed and adapted from materials provided by Zurich Instruments AG.

For more information on this source, please visit Zurich Instruments AG.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Zurich Instruments AG. (2025, July 29). The Principles of Boxcar Averaging. AZoOptics. Retrieved on August 17, 2025 from https://www.azooptics.com/Article.aspx?ArticleID=2262.

  • MLA

    Zurich Instruments AG. "The Principles of Boxcar Averaging". AZoOptics. 17 August 2025. <https://www.azooptics.com/Article.aspx?ArticleID=2262>.

  • Chicago

    Zurich Instruments AG. "The Principles of Boxcar Averaging". AZoOptics. https://www.azooptics.com/Article.aspx?ArticleID=2262. (accessed August 17, 2025).

  • Harvard

    Zurich Instruments AG. 2025. The Principles of Boxcar Averaging. AZoOptics, viewed 17 August 2025, https://www.azooptics.com/Article.aspx?ArticleID=2262.

Ask A Question

Do you have a question you'd like to ask regarding this article?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.