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The fast Fourier transform is an efficient algorithm to compute the discrete Fourier transform (DFT) and its inverse.

2 votes
3 answers
4k views

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 …
jony alton's user avatar
4 votes
1 answer
594 views

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 …
jony alton's user avatar
1 vote
4 answers
544 views

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 …
jony alton's user avatar