Lecture 19: Aliasing Demonstration With Music
author: Brad G. Osgood,
Computer Science Department, Stanford University
published: May 21, 2010, recorded: September 2007, views: 2655
released under terms of: Creative Commons Attribution Non-Commercial (CC-BY-NC)
published: May 21, 2010, recorded: September 2007, views: 2655
released under terms of: Creative Commons Attribution Non-Commercial (CC-BY-NC)
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Description
So according to the way we do things then, the bandwidth or the spectrum of – a slice of spectrum of music would go roughly up to say 20,000 hertz and then down to minus 20,000, so the frequency would be – and beyond that it’s essentially zero. At least as far as you’re concerned it’s zero. You can’t hear anything. So if that’s a picture of the spectrum of a slice of music, then it’s between minus 20,000 and 20,000, so the way we write things, that would be P over 2. The bandwidth is 20,000, so P is about 40,000, which means that if you wanna sample and reconstruct music, you should do it roughly at a rate of 40,000 hertz. ...
See the whole transcript at The Fourier Transform and its Applications - Lecture 19
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