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See [[wikipedia:FFT|fast Fourier transform]] and [[wikipedia:Discrete Fourier transform|Discrete Fourier transform]] on Wikipedia. | See [[wikipedia:FFT|fast Fourier transform]] and [[wikipedia:Discrete Fourier transform|Discrete Fourier transform]] on Wikipedia. | ||
A Fourier Transform (FFT) is a method of calculating the frequency components in a data set | A Fourier Transform (FFT) is a method of calculating the frequency components in a data set — and the inverse FFT converts back from the frequency domain — 4 applications of the FFT rotates you round the complex plane and leaves you back with the original data. | ||
In this page the FFT is implemented with the [[wikipedia:FFT#Cooley–Tukey algorithm|Cooley–Tukey algorithm]] by dividing the transform into two pieces of size <source lang=apl inline>N÷2</source> at each step. | In this page the FFT is implemented with the [[wikipedia:FFT#Cooley–Tukey algorithm|Cooley–Tukey algorithm]] by dividing the transform into two pieces of size <source lang=apl inline>N÷2</source> at each step. |