Fast Fourier Transform

Terms from Artificial Intelligence: humans at the heart of algorithms

The glossary is being gradually proof checked, but currently has many typos and misspellings.

A Fast Fourier Transform (FFT) is, as the name suggests, a fast way to perform a Fourier transform of time-series or other sequential data. It exploits symmetries in the calculation of the Fourier transform in order to reuse intermediate results. Whereas a brute force version of Fourier transform is quandratic in the size of the input (N2), the FFT is log-linear (N log2N). For example, for N=1024, FFT is around 100 times faster (1024/log2(1024)).

Used in Chap. 14: page 207

Also known as FFT