Music Through Fourier Space: Discrete Fourier Transform in Music Theory

Author:   Emmanuel Amiot
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2016
ISBN:  

9783319455808


Pages:   206
Publication Date:   04 November 2016
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Music Through Fourier Space: Discrete Fourier Transform in Music Theory


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Full Product Details

Author:   Emmanuel Amiot
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   4.616kg
ISBN:  

9783319455808


ISBN 10:   331945580
Pages:   206
Publication Date:   04 November 2016
Audience:   College/higher education ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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) Amiot's 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)


Amiot's 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)


Author Information

Emmanuel Amiot teaches mathematics at the Lycée François Arago in Perpignan, he is a researcher in the Laboratoire de Mathématiques et Physique (LAMPS) of Université 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.

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