With the Shazam smartphone app, a listener captures a short excerpt of a recorded song with the smartphone's microphone, and in a matter of moments the app reports the name of the song and the artist. Fourier analysis is a key mathematical tool that powers the app. In this paper, we describe a wavelet-based method that captures the basic process used by the Shazam app to search a database of number sequences (signals) to find those that are similar to a test signal. We will describe our implementation with a different source of signals: continuous glucose monitor data from the management of type-1 diabetes.

Original Citation

Aboufadel, E. (2017). Imitating the Shazam App with Wavelets. Mathematics Magazine, 90(4), 287-295. Retrieved from http://www.jstor.org/stable/10.4169/math.mag.90.4.287

Copyright [2017] Mathematical Association of America. All Rights Reserved.

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