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Music Through Fourier Space Emmanuel Amiot

Music Through Fourier Space By Emmanuel Amiot

Music Through Fourier Space by Emmanuel Amiot


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Summary

In particular the author explains the DFT of pitch-class distributions, homometry and the phase retrieval problem, nil Fourier coefficients and tilings, saliency, extrapolation to the continuous Fourier transform and continuous spaces, and the meaning of the phases of Fourier coefficients.

Music Through Fourier Space Summary

Music Through Fourier Space: Discrete Fourier Transform in Music Theory by Emmanuel Amiot

This book explains the state of the art in the use of the discrete Fourier transform (DFT) of musical structures such as rhythms or scales. In particular the author explains the DFT of pitch-class distributions, homometry and the phase retrieval problem, nil Fourier coefficients and tilings, saliency,extrapolation to the continuous Fourier transform and continuous spaces, and the meaning of the phases of Fourier coefficients.

This is the first textbook dedicated to this subject, and with supporting examples and exercises this is suitable for researchers and advanced undergraduate and graduate students of music, computer science and engineering. The author has made online supplementary material available, and the book is also suitable for practitioners who want to learn about techniques for understanding musical notions and who want to gain musical insights into mathematical problems.

Music Through Fourier Space Reviews

This book is a short exposition of important material in the field of mathematics and music. It describes a number of topics to which Amiot has contributed significant research. ... This book should prove to be a real delight for aficionados of mathematics and music. It contains a wealth of important material and is certain to drive further investigations in this fascinating interdisciplinary field. (James Stephan Walker, Mathematical Reviews, June, 2018)

Amiots nice book gives the state of the art in the usage of DFT of abstract musical structures such as rhythms, scales, chords, pitch class distributions, and so on. This is possibly the first textbook on the topic. The target readership includes graduates and advanced undergraduates of computational music science and engineering. Researchers in music should also find it of interest. (Soubhik Chakraborty, Computing Reviews, May, 2017)


About Emmanuel Amiot

Emmanuel Amiot teaches mathematics at the Lycee Francois Arago in Perpignan, he is a researcher in the Laboratoire de Mathematiques et Physique (LAMPS) of Universite de Perpignan Via Domitia, and he is a regular collaborator with researchers at the Institut de Recherche et Coordination Acoustique/Musique (IRCAM), Paris. He is a pioneer of the techniques described in this textbook, with considerable research and teaching experience in the related areas, geometry, topology, and applied mathematics.

Table of Contents

Discrete Fourier Transform of Distributions.- Homometry and the Phase Retrieval Problem.- Nil Fourier Coefficients and Tilings.- Saliency.- Continuous Spaces, Continuous Fourier Transform.- Phases of Fourier Coefficients.

Additional information

NPB9783319455808
9783319455808
331945580X
Music Through Fourier Space: Discrete Fourier Transform in Music Theory by Emmanuel Amiot
New
Hardback
Springer International Publishing AG
2016-11-04
206
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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Customer Reviews - Music Through Fourier Space