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.

中文翻译：

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使用交互式 Jupyter 笔记本和智能手机加速度计数据探索数字信号处理


数字信号处理对于当代物理学家来说是一项宝贵的实践技能，但在物理课程中，其核心概念通常要么以高度抽象和面向数学的方式在方法课程中引入，要么在很少明确关注的实验室工作中引入。在本文中，我们提出了一项实验任务，其中重点关注使用智能手机加速度计收集的数据在日常振动分析中实际实现离散傅里叶变换（DFT）。学生在 Jupyter Notebook Companion 的陪伴下进行实验，它充当交互式说明书和数据分析工具。该任务适合在不确定性分析、数据表示和数据分析方面具有一定经验的大学物理系一年级以上学生。根据我们的观察，这个实验非常有吸引力。学生们一致表示对该实验很感兴趣，他们发现它很好地演示了 DFT 方法。