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4.3.6 Real-to-Real Transform Kinds

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FFTW currently supports 11 different r2r transform kinds, specified by cannam@167: one of the constants below. For the precise definitions of these cannam@167: transforms, see What FFTW Really Computes. For a more colloquial cannam@167: introduction to these transform kinds, see More DFTs of Real Data. cannam@167:

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For dimension of size n, there is a corresponding “logical” cannam@167: dimension N that determines the normalization (and the optimal cannam@167: factorization); the formula for N is given for each kind below. cannam@167: Also, with each transform kind is listed its corrsponding inverse cannam@167: transform. FFTW computes unnormalized transforms: a transform followed cannam@167: by its inverse will result in the original data multiplied by N cannam@167: (or the product of the N’s for each dimension, in cannam@167: multi-dimensions). cannam@167: cannam@167:

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