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Geovision Gv 650 800 S V3.52 Drivers.torrent | Free Download.Q:
Is there a JavaScript FFT that can handle frequencies above the Nyquist frequency?
I need to process audio at a sample rate > 32kHz and I’ve seen that there is a bit of a controversy regarding the “true” sampling rate of audio.
I’ve read on the wikipedia page that:
Resolution is inversely proportional to the sampling frequency (as
long as it is nonzero). For example, if sampling is at 44.1 kHz, then
the resolution is 44.1 kHz.
But how can this be, since in case of Nyquist there is a minimum of 2 times for frequencies > half the sample rate and since the sample rate of 44.1kHz is already more than half the sampling rate (it’s twice the sampling rate) and there is no higher resolution.
So, I am not clear about the issue, but I need a very clear explanation for this.
A:
but I need a very clear explanation for this.
There are two ways to sample audio.
When recording a sample, you are choosing a time and capturing that sample. The resulting signal has the same bandwidth as the signal you started with. So it is flat.
When choosing a filter, you are choosing a frequency domain input and filtering it. You may not see that sampling, but you are. It is done in the frequency domain.
In sampling, your signal is not a sine wave. It is a rectangular function. When you sample it, you are throwing away parts of the sine wave, and the corners of the rectangle, so your actual resolution is smaller.
However, when you choose a filter, you are choosing a very narrow band of frequencies that you will throw away. So that the noise in the noise band is not present, the resolution is larger.
It is important to understand that the resolution is what you choose to throw away. If you throw away too much of the signal, the resolution is too low. If you throw away too little, the resolution is too high. If
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