image credit
Fast Fourier transform
A fast Fourier transform (FFT) algorithm computes the discrete Fourier transform (DFT) of a sequence, or its inverse (IFFT). Fourier analysis converts a signal from its original domain (often time or space) to a representation in the frequency domain and vice versa. An FFT rapidly computes such transformations by factorizing the DFT matrix into a product of sparse (mostly zero) factors. As a result, it manages to reduce the complexity of computing the DFT from O ( n 2 ) {\displaystyle O(n^{2})} , which arises if one simply applies the definition of DFT, to O ( n log n ) {\displaystyle O(n\log n)} , where n {\displaystyle n} is the data size. MORE
Mediander uses proprietary software that curates millions of interconnected topics to produce the Mediander Topics search results. As with any algorithmic search, anomalous results may occur. If you notice such an anomaly, or have any comments or suggestions, please contact us.