Julius O Smith

 

 


 

Education:

Ph.D., Electrical Engineering, Spring 1983, Stanford University.

M.S./E.E., Statistical Signal Processing, Spring 1978, Stanford University.

B.S./E.E., Control Communications and Circuits, Spring 1975, Rice University.

More info: https://ccrma.stanford.edu/~jos/




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Mar 27th 2017

In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. We focus on the spectral processing techniques of relevance for the description and transformation of sounds, developing the basic theoretical and practical knowledge with which to analyze, synthesize, transform and describe audio signals in the context of music applications.

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Sep 20th 2016

This course introduces the basics of Digital Signal Processing and computational acoustics, motivated by the vibrational physics of real-world objects and systems. We will build from a simple mass-spring and pendulum to demonstrate oscillation, how to simulate those systems in the computer, and also prove that simple oscillation behaves as a sine wave. From that we move to plucked strings and struck bars, showing both solutions as combined traveling waves and combined sine wave harmonics.

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