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Digital signal processing is a valuable practical skill for the contemporaryphysicist, yet in physics curricula its central concepts are often introducedeither in method courses in a highly abstract and mathematics-oriented manneror in lab work with little explicit attention. In this paper, we present anexperimental task in which we focus on a practical implementation of thediscrete Fourier transform (DFT) in an everyday context of vibration analysisusing data collected by a smartphone accelerometer. Students are accompanied inthe experiment by a Jupyter notebook companion, which serves as an interactiveinstruction sheet and a tool for data analysis. The task is suitable forbeyond-first-year university physics students with some prior experience inuncertainty analysis, data representation, and data analysis. Based on ourobservations the experiment is very engaging. Students have consistentlyreported interest in the experiment and they have found it a good demonstrationof the DFT method

Learning digital signal processing using an interactive Jupyter notebook and smartphone accelerometer data