inguz;182737 Wrote: 
> Simply dropping samples doesn't work properly.  Take a 96kHz signal with
> a loud sinewave at 46kHz.  If you go to 48kHz sampling rate by throwing
> away every other sample, you should ideally end up with silence (the
> 46kHz signal can't be represented at that sampling rate) but instead
> you'll get a very loud 2kHz whistle that wasn't present in the original
> at all; it's an artifact of the downsampling.  To get rid of the
> artifacts you need to low-pass-filter (ideally a brickwall at 24kHz, in
> this case) first.

Yeah, this is what cliveb was pointing out earlier.  

There must be a really nice way to think about this discrete sampling
stuff.  It's as if when you sample at some frequency f you wrap the
signal around a circle in frequency space, with DC at one point and f/2
(the Nyquist frequency) at the antipode, and then f again at the DC
point, (3/2)f at the Nyquist point, etc.  I guess this follows from the
fact that a discrete Fourier transform is like a normal FT on a circle. 
I'm sure this is obvious to someone that thinks about discrete signal
analysis - anyone have a recommendation for a good technical reference?


-- 
opaqueice
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