Re: Waveform horror! Is a 44.1 kHz sampling rate sufficient?
- From: "Jon Slaughter" <Jon_Slaughter@xxxxxxxxxxx>
- Date: Sun, 20 Sep 2009 17:18:56 -0500
"Michael" <mrdarrett@xxxxxxxxx> wrote in message
news:609e9c8b-ca5e-4718-bf0e-f3730c6536f1@xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
I used Audacity to generate a 19 kHz tone, planning on burning it to a
CD and playing it in my car stereo for... um... well, let's not get
into that. I then zoomed in on the waveform to take a peek, prior to
burning the waveform. What horror!
http://mrdarrett.googlepages.com/distort.jpg
The waveform is severely distorted. I could see where the points
mathematically
would be correct, but given the sparse sampling points, the speaker
would not be instructed to swing rail-to-rail at, say, between 15.0000
and 15.0005 seconds.
A FFT gives a spread of frequencies centered around the 19 kHz, but,
yuck!
I tried various other frequencies: 9 kHz gives a pretty distorted
waveform as well.
What are the implications as far as accurate sound reproduction at a
44.1 kHz
sampling frequency, as used by CDs?
Michael
The points you are seeing that look distorted is because of the sparse
sampling and it is not a divisor of 44.1khz. The spline representation is
simply not going to show a perfect sine wave. If you were to try to fit a
sine wave to that data you would find it would fit really well. But because
the peaks are not sampled in some cases it looks like something entirely
different(related to aliasing).
The data though is still a sine wave and will sound like one. The fourier
transform(the spectrum) of any pure signal is not pure and will always be a
"mash" of frequencies around the center frequency(this is because of
numerical errors in the calculations).
I wouldn't worry about it. If you get a better program that uses a better
interpolation method then it won't look bad.
.
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