Research on Teaching Reform of Digital Signal Processing Course Based on Python

Digital signal processing (DSP), as a significant and rapidly developing discipline, has become the backbone course of most electronics, computer, communication, and other related majors. However, the computational complexity is large and cumbersome, making it difficult for students to verify firsthand, resulting in a lack of visualized results and a difficult understanding of theory. Therefore, this article attempts to reform DSP course teaching based on Python. In order to improve teaching quality and stimulate students’ interest in learning, we will explain the specific usage of Python and its extension function library in DSP from the perspectives of classroom teaching and experimental aspects. This article has been simulated and tested to obtain the use of Python to calculate and draw graphics, including FFT graphs, Time-domain waveforms and spectra, as well as the design of window functions for low-pass filters.