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Music Through Fourier Space

Discrete Fourier Transform in Music Theory

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Pages
224 pages
Reading time
8 hours

More about the book

The book delves into advanced applications of the discrete Fourier transform (DFT) in analyzing musical structures like rhythms and scales. It covers complex topics such as pitch-class distributions, homometry, and the phase retrieval problem. Additionally, it explores nil Fourier coefficients, saliency, and the transition to continuous Fourier transforms, providing insights into the significance of Fourier coefficient phases. This comprehensive examination highlights the intersection of music theory and mathematical analysis.

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Music Through Fourier Space, Emmanuel Amiot

Language
Released
2016
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