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Course Description

Music 320 is a first course in digital signal processing with applications in computer music.

The lectures present fundamental elements of digital audio signal processing, such as sinusoids, spectra, the Discrete Fourier Transform (DFT), digital filters, $z$ transforms, transfer-function analysis, and basic Fourier analysis in the discrete-time case. Matlab is used for in-class demonstrations and homework/lab assignments. The labs focus on practical applications of the theory, with emphasis on working with waveforms and spectra, ``getting sound'', and developing proficiency in matlab.

Pre-requisites: High-school level algebra and trigonometry, some calculus, and prior exposure to complex numbers.


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Download intro320.pdf

``MUS320: Introduction to Digital Audio Signal Processing'', by Julius O. Smith III, (From Course Reader, Music 320).

Center for Computer Research in Music and Acoustics (CCRMA),   Stanford University
CCRMA  [Automatic-links disclaimer]