A1 Journal article (refereed)
Exploring digital signal processing using an interactive Jupyter notebook and smartphone accelerometer data (2024)


Pirinen, P., Klein, P., Lahme, S. Z., Lehtinen, A., Rončević, L., & Susac, A. (2024). Exploring digital signal processing using an interactive Jupyter notebook and smartphone accelerometer data. European Journal of Physics, 45(1), Article 015802. https://doi.org/10.1088/1361-6404/ad0790


JYU authors or editors


Publication details

All authors or editors: Pirinen, Pekka; Klein, Pascal; Lahme, Simon Zacharias; Lehtinen, Antti; Rončević, Lucija; Susac, Ana

Journal or series: European Journal of Physics

ISSN: 0143-0807

eISSN: 1361-6404

Publication year: 2024

Publication date: 27/10/2023

Volume: 45

Issue number: 1

Article number: 015802

Publisher: IOP Publishing

Publication country: United Kingdom

Publication language: English

DOI: https://doi.org/10.1088/1361-6404/ad0790

Publication open access: Not open

Publication channel open access: 

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/91372


Abstract

Digital signal processing is a valuable practical skill for the contemporary physicist, yet in physics curricula, its central concepts are often introduced either in method courses in a highly abstract and mathematics-oriented manner or in lab work with little explicit attention. In this paper, we present an experimental task in which we focus on a practical implementation of the discrete Fourier transform (DFT) in an everyday context of vibration analysis using data collected by a smartphone accelerometer. Students are accompanied in the experiment by a Jupyter notebook companion, which serves as an interactive instruction sheet and a tool for data analysis. The task is suitable for beyond-first-year university physics students with some prior experience in uncertainty analysis, data representation, and data analysis. Based on our observations the experiment is very engaging. Students have consistently reported
interest in the experiment and they have found it a good demonstration of the DFT method.


Keywords: physics; higher education (teaching); educational methods; signal processing; programming; smartphones


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Ministry reporting: Yes

VIRTA submission year: 2023

JUFO rating: 1


Last updated on 2024-12-10 at 19:15