Talk:Fast Fourier transform: Difference between revisions
Let's save Nyquist frequency issues for a future question?
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== Explanation of input data please ==
Hi. A big problem with pages such as this (and I challenge you to try finding FFT information anywhere else on the internet which is simpler) is the lack of explanation of various parts of the explanantion.
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Thank you
-Sam
: The FFT is a sort of "self inverting transformation" (within limitations - your data needs to have a length which is a power of 2, for example). If you use it on the 1 1 1 1 0 0 0 0 result you should get back WAV data you started with (multiplied by a constant). There are a variety of directions you can take this. One thing you can do is make small changes to the FFT result before you transform it back, and then compare how the original sounds with how the result sounds. (You will probably want to cancel out the constant so the volumes are the same.) Basically, though, what you are seeing is the volumes of the different frequencies of the sounds. Higher frequence sounds sound "higher" or "sharper" while lower frequency sounds sound "lower". Try it and see? --[[User:Rdm|Rdm]] ([[User talk:Rdm|talk]]) 19:40, 13 December 2013 (UTC)
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