cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: FFTW 3.3.5: Real-to-Real Transform Kinds cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: cannam@127:
cannam@127:

cannam@127: Previous: , Up: Basic Interface   [Contents][Index]

cannam@127:
cannam@127:
cannam@127: cannam@127:

4.3.6 Real-to-Real Transform Kinds

cannam@127: cannam@127: cannam@127:

FFTW currently supports 11 different r2r transform kinds, specified by cannam@127: one of the constants below. For the precise definitions of these cannam@127: transforms, see What FFTW Really Computes. For a more colloquial cannam@127: introduction to these transform kinds, see More DFTs of Real Data. cannam@127:

cannam@127:

For dimension of size n, there is a corresponding “logical” cannam@127: dimension N that determines the normalization (and the optimal cannam@127: factorization); the formula for N is given for each kind below. cannam@127: Also, with each transform kind is listed its corrsponding inverse cannam@127: transform. FFTW computes unnormalized transforms: a transform followed cannam@127: by its inverse will result in the original data multiplied by N cannam@127: (or the product of the N’s for each dimension, in cannam@127: multi-dimensions). cannam@127: cannam@127:

cannam@127: cannam@127: cannam@127:
cannam@127:
cannam@127:

cannam@127: Previous: , Up: Basic Interface   [Contents][Index]

cannam@127:
cannam@127: cannam@127: cannam@127: cannam@127: cannam@127: