d@0: d@0:
d@0:d@0: d@0: d@0: Next: 1d Real-odd DFTs (DSTs), d@0: Previous: The 1d Real-data DFT, d@0: Up: What FFTW Really Computes d@0:
The Real-even symmetry DFTs in FFTW are exactly equivalent to the unnormalized
d@0: forward (and backward) DFTs as defined above, where the input array
d@0: X of length N is purely real and is also even symmetry. In
d@0: this case, the output array is likewise real and even symmetry.
d@0:
d@0: For the case of REDFT00
, this even symmetry means that
d@0: Xj = XN-j,where we take X to be periodic so that
d@0: XN = X0. Because of this redundancy, only the first n real numbers are
d@0: actually stored, where N = 2(n-1).
d@0:
d@0:
The proper definition of even symmetry for REDFT10
,
d@0: REDFT01
, and REDFT11
transforms is somewhat more intricate
d@0: because of the shifts by 1/2 of the input and/or output, although
d@0: the corresponding boundary conditions are given in Real even/odd DFTs (cosine/sine transforms). Because of the even symmetry, however,
d@0: the sine terms in the DFT all cancel and the remaining cosine terms are
d@0: written explicitly below. This formulation often leads people to call
d@0: such a transform a discrete cosine transform (DCT), although it is
d@0: really just a special case of the DFT.
d@0:
d@0: In each of the definitions below, we transform a real array X of
d@0: length n to a real array Y of length n:
d@0:
d@0:
An REDFT00
transform (type-I DCT) in FFTW is defined by:
d@0:
An REDFT10
transform (type-II DCT, sometimes called “the” DCT) in FFTW is defined by:
d@0:
An REDFT01
transform (type-III DCT) in FFTW is defined by:
d@0:
REDFT10
(“the” DCT), and so the REDFT01
(DCT-III) is sometimes called the “IDCT”.
d@0:
d@0:
d@0: An REDFT11
transform (type-IV DCT) in FFTW is defined by:
d@0:
These definitions correspond directly to the unnormalized DFTs used
d@0: elsewhere in FFTW (hence the factors of 2 in front of the
d@0: summations). The unnormalized inverse of REDFT00
is
d@0: REDFT00
, of REDFT10
is REDFT01
and vice versa, and
d@0: of REDFT11
is REDFT11
. Each unnormalized inverse results
d@0: in the original array multiplied by N, where N is the
d@0: logical DFT size. For REDFT00
, N=2(n-1) (note that
d@0: n=1 is not defined); otherwise, N=2n.
d@0:
d@0: In defining the discrete cosine transform, some authors also include
d@0: additional factors of
d@0: √2(or its inverse) multiplying selected inputs and/or outputs. This is a
d@0: mostly cosmetic change that makes the transform orthogonal, but
d@0: sacrifices the direct equivalence to a symmetric DFT.
d@0:
d@0:
d@0:
d@0: