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- Title: Maths and Music
- Author(s) Julia Winterson
- Publisher: University of Huddersfield (June 28, 2024); eBook (Creative Commons Licensed)
- License(s): Creative Commons License (CC)
- Paperback: 423 pages
- eBook: PDF, ePub, and Read Online
- Language: English
- ISBN-10: 0521619998
- ISBN-13: 978-0262514293
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There are strong links between music and mathematics dating back to Pythagoras and beyond. This book draws together the two disciplines outlining the key methods and concepts that underpin the subjects from one of the earliest uses of a musical cryptogram to computer music in the twenty-first century.
About the Authors- N/A
- Computer, Digital, and Mathematical Music
- Fourier Transforms and Wavelet
- Applied Mathematics
- General and Miscellaneous Mathematics
- Digital Signal Processing (DSP), Sound and Imaging Processing

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Music: A Mathematical Offering (David J. Benson)
This book provides a wealth of information to understand, at varying levels of technicality, the interplay between two ancient disciplines. A must-have book if you want to know about the music of the spheres or digital music and much in between.
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Mathematics and Music (David Wright)
An investigation of the interrelationships between mathematics and music, reviewing the needed background concepts in each subject as they are encountered. It explores the common foundations of the two subjects, which are developed side by side.
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How Music and Mathematics Relate (WikiBooks)
An excellent introduction to the interdisciplinary subject of music and mathematics. Offers a lively exploration of the mathematics, physics, and neuroscience that underlie music in a way that readers without scientific background can follow.
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Group Theory Applications to Mathematical Music Theory
The success of Group Theory is impressive and extraordinary. Its influence is strongly felt in almost all scientific and artistic disciplines (in Music, in particular) and in Mathematics itself. It provides answers to questions about the mathematics of music.
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Discrete Fourier Transform (DFT): with Audio Applications
Detailed derivation of the Discrete Fourier Transform (DFT) and its associated mathematics, including elementary audio signal processing applications and matlab programming examples.
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The Haskell School of Music - From Signals to Symphonies
It explores the fundamentals of computer music and functional programming through the Haskell, inclues algorithmic music composition, such as stochastic generation, musical grammars, self-similarity, and real-time interactive systems, etc.
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