Müller M, McFee B (2021)
Publication Type: Journal article
Publication year: 2021
Book Volume: 38
Pages Range: 73-84
Article Number: 9418542
Journal Issue: 3
In this artaicle, we illustrate how music may serve as a vehicle to support education in signal processing. Using Fourier analysis as a concrete example, we demonstrate how the music domain provides motivating and tangible applications that make learning signal processing an interactive pursuit. Furthermore, we indicate how software tools, originally developed for music analysis, provide students multiple entry points to delve deeper into classical signal processing techniques while bridging the gap between education and cutting-edge research.
APA:
Müller, M., & McFee, B. (2021). Interactive Learning of Signal Processing through Music: Making Fourier Analysis Concrete for Students. IEEE Signal Processing Magazine, 38(3), 73-84. https://doi.org/10.1109/MSP.2021.3052181
MLA:
Müller, Meinard, and Brian McFee. "Interactive Learning of Signal Processing through Music: Making Fourier Analysis Concrete for Students." IEEE Signal Processing Magazine 38.3 (2021): 73-84.
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