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



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Autore: Amiot Emmanuel Visualizza persona
Titolo: Music Through Fourier Space : Discrete Fourier Transform in Music Theory / / by Emmanuel Amiot Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Edizione: 1st ed. 2016.
Descrizione fisica: 1 online resource (XV, 206 p. 129 illus., 45 illus. in color.)
Disciplina: 781.0151
Soggetto topico: Application software
Music
Mathematics
Computer science—Mathematics
User interfaces (Computer systems)
Signal processing
Image processing
Speech processing systems
Computer Appl. in Arts and Humanities
Mathematics in Music
Mathematics of Computing
User Interfaces and Human Computer Interaction
Signal, Image and Speech Processing
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Music Through Fourier Space  Visualizza cluster
ISBN: 3-319-45581-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910255019703321
Lo trovi qui: Univ. Federico II
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Serie: Computational Music Science, . 1868-0305