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Acronym: FFT
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fast Fourier transform
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above) requires O(N^2) operations for an output sequence of length N. An indirect method, using transforms, can take advantage of the O(N\log N) efficiency of the fast Fourier transform (FFT) to achieve much better performance. Furthermore, convolutions can be used to efficiently compute DFTs via Rader's FFT algorithm and Bluestein's FFT algorithm. Methods have also been devel |
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Acronym: DWT
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discrete wavelet transform
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other Fourier transforms, there are various alternatives to the DFT for various applications, prominent among which are wavelets. The analog of the DFT is the discrete wavelet transform (DWT). From the point of view of time–frequency analysis, a key limitation of the Fourier transform is that it does not include ''location'' information, only ''frequency'' information, and thus has |
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Acronym: DFT
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discrete Fourier transform
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of impact of Yavne's paper</comment> <text xml:space="preserve">The '''split-radix FFT''' is a fast Fourier transform (FFT) algorithm for computing the discrete Fourier transform (DFT), and was first described in an initially little-appreciated paper by R. Yavne (1968) and subsequently rediscovered simultaneously by various authors in 1984. (The name "split radix" was |
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