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Chris@82:Multi-dimensional DFTs of real data use the following planner routines: Chris@82:
Chris@82:fftw_plan fftw_plan_dft_r2c_2d(int n0, int n1, Chris@82: double *in, fftw_complex *out, Chris@82: unsigned flags); Chris@82: fftw_plan fftw_plan_dft_r2c_3d(int n0, int n1, int n2, Chris@82: double *in, fftw_complex *out, Chris@82: unsigned flags); Chris@82: fftw_plan fftw_plan_dft_r2c(int rank, const int *n, Chris@82: double *in, fftw_complex *out, Chris@82: unsigned flags); Chris@82:
as well as the corresponding c2r routines with the input/output
Chris@82: types swapped. These routines work similarly to their complex
Chris@82: analogues, except for the fact that here the complex output array is cut
Chris@82: roughly in half and the real array requires padding for in-place
Chris@82: transforms (as in 1d, above).
Chris@82:
As before, n is the logical size of the array, and the
Chris@82: consequences of this on the the format of the complex arrays deserve
Chris@82: careful attention.
Chris@82:
Chris@82: Suppose that the real data has dimensions n0 × n1 × n2 × … × nd-1
Chris@82: (in row-major order).
Chris@82: Then, after an r2c transform, the output is an n0 × n1 × n2 × … × (nd-1/2 + 1)
Chris@82: array of
Chris@82: fftw_complex values in row-major order, corresponding to slightly
Chris@82: over half of the output of the corresponding complex DFT. (The division
Chris@82: is rounded down.) The ordering of the data is otherwise exactly the
Chris@82: same as in the complex-DFT case.
Chris@82:
For out-of-place transforms, this is the end of the story: the real Chris@82: data is stored as a row-major array of size n0 × n1 × n2 × … × nd-1 Chris@82: and the complex Chris@82: data is stored as a row-major array of size n0 × n1 × n2 × … × (nd-1/2 + 1) Chris@82: . Chris@82:
Chris@82:For in-place transforms, however, extra padding of the real-data array
Chris@82: is necessary because the complex array is larger than the real array,
Chris@82: and the two arrays share the same memory locations. Thus, for
Chris@82: in-place transforms, the final dimension of the real-data array must
Chris@82: be padded with extra values to accommodate the size of the complex
Chris@82: data—two values if the last dimension is even and one if it is odd.
Chris@82:
Chris@82: That is, the last dimension of the real data must physically contain
Chris@82: 2 * (nd-1/2+1)
Chris@82: double values (exactly enough to hold the complex data).
Chris@82: This physical array size does not, however, change the logical
Chris@82: array size—only
Chris@82: nd-1
Chris@82: values are actually stored in the last dimension, and
Chris@82: nd-1
Chris@82: is the last dimension passed to the plan-creation routine.
Chris@82:
For example, consider the transform of a two-dimensional real array of
Chris@82: size n0 by n1. The output of the r2c transform is a
Chris@82: two-dimensional complex array of size n0 by n1/2+1, where
Chris@82: the y dimension has been cut nearly in half because of
Chris@82: redundancies in the output. Because fftw_complex is twice the
Chris@82: size of double, the output array is slightly bigger than the
Chris@82: input array. Thus, if we want to compute the transform in place, we
Chris@82: must pad the input array so that it is of size n0 by
Chris@82: 2*(n1/2+1). If n1 is even, then there are two padding
Chris@82: elements at the end of each row (which need not be initialized, as they
Chris@82: are only used for output).
Chris@82:
The following illustration depicts the input and output arrays just
Chris@82: described, for both the out-of-place and in-place transforms (with the
Chris@82: arrows indicating consecutive memory locations):
Chris@82:
Chris@82:
These transforms are unnormalized, so an r2c followed by a c2r Chris@82: transform (or vice versa) will result in the original data scaled by Chris@82: the number of real data elements—that is, the product of the Chris@82: (logical) dimensions of the real data. Chris@82: Chris@82:
Chris@82: Chris@82:(Because the last dimension is treated specially, if it is equal to
Chris@82: 1 the transform is not equivalent to a lower-dimensional
Chris@82: r2c/c2r transform. In that case, the last complex dimension also has
Chris@82: size 1 (=1/2+1), and no advantage is gained over the
Chris@82: complex transforms.)
Chris@82:
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