Music Through Fourier Space : Discrete Fourier Transform in Music Theory
Softcover reprint of the original 1st ed. 2016
Book Details
Format
Paperback / Softback
Book Series
Computational Music Science
ISBN-10
3319833235
ISBN-13
9783319833231
Edition
Softcover reprint of the original 1st ed. 2016
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jun 16th, 2018
Print length
206 Pages
Weight
358 grams
Dimensions
15.60 x 23.30 x 1.50 cms
Product Classification:
MusicTheory of music & musicologyTheory of music and musicologySocial research & statisticsSocial research and statisticsApplied mathematicsElectronics engineeringDigital and Information technology: general topicsInformation technology: general issuesMaths for computer scientistsDigital signal processing (DSP)Signal processingHuman-computer interactionHuman–computer interaction
Ksh 8,100.00
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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 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.
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.
Get Music Through Fourier Space by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer International Publishing AG and it has pages.
