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The fast Fourier transform is an efficient algorithm to compute the discrete Fourier transform (DFT) and its inverse.
2
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3
answers
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Why does fft require a power of 2 sample numbers? [closed]
I'm a beginner in signal processing, I do not know if I'm right but what I understand so far is
if I have a signal of 44100 samples I have 22050 frequencies
so if I choose 512 samples for the fft the … or 65536 samples to analyze all the 22050 frequencies
then with 65536 given to the fft I can edit up to the frequency 32768hz …
4
votes
1
answer
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Understanding the Inverse DFT (FFT)
I was reading this article to understand the fft - JACK SCHAEDLER - A WALKTHROUGH OF THE DFT - STEP BY STEP. … I understand that:
the fft takes a block (256 or 512) of the signal, creates a sinusoidal and cosineidal wave of frequency "f" and multiplies each sample for each sample of the signal to decompose,
add …
1
vote
4
answers
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How to see the amplitude of each frequency?
do you know software that exports spectrograms to images of 500x22000 pixels?
all the spectrograms that I know show diffused frequencies and it does not look very good
I just want to see the amplitude …