Interactive Learning of Signal Processing through Music: Making Fourier Analysis Concrete for Students

Müller M, McFee B (2021)

Publication Type: Journal article

Publication year: 2021

Journal

IEEE Signal Processing Magazine Institute of Electrical and Electronic Engineers

Book Volume: 38

Pages Range: 73-84

Article Number: 9418542

Journal Issue: 3

DOI: 10.1109/MSP.2021.3052181

Abstract

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.

Authors with CRIS profile

Meinard Müller Lehrstuhl für Semantische Audiosignalverarbeitung (AudioLabs)

Involved external institutions

New York University (NYU) US United States (USA) (US)

How to cite

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://dx.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.

BibTeX: Download