| | DEFUN_DLD (fftn, args,,"-*- texinfo -*-\n\
@deftypefn {Loadable Function} {} fftn (@var{A})\n\
@deftypefnx {Loadable Function} {} fftn (@var{A}, @var{size})\n\
Compute the N-dimensional discrete Fourier transform of @var{A} using\n\
a Fast Fourier Transform (FFT) algorithm.\n\
\n\
The optional vector argument @var{size} may be used specify the\n\
dimensions of the array to be used. If an element of @var{size} is\n\
smaller than the corresponding dimension of @var{A}, then the dimension of\n\
@var{A} is truncated prior to performing the FFT@. Otherwise, if an element\n\
of @var{size} is larger than the corresponding dimension then @var{A}\n\
is resized and padded with zeros.\n\
@seealso{ifftn, fft, fft2, fftw}\n\
@end deftypefn") |
| | DEFUN_DLD (ifftn, args,,"-*- texinfo -*-\n\
@deftypefn {Loadable Function} {} ifftn (@var{A})\n\
@deftypefnx {Loadable Function} {} ifftn (@var{A}, @var{size})\n\
Compute the inverse N-dimensional discrete Fourier transform of @var{A}\n\
using a Fast Fourier Transform (FFT) algorithm.\n\
\n\
The optional vector argument @var{size} may be used specify the\n\
dimensions of the array to be used. If an element of @var{size} is\n\
smaller than the corresponding dimension of @var{A}, then the dimension of\n\
@var{A} is truncated prior to performing the inverse FFT@. Otherwise, if an\n\
element of @var{size} is larger than the corresponding dimension then @var{A}\n\
is resized and padded with zeros.\n\
@seealso{fftn, ifft, ifft2, fftw}\n\
@end deftypefn") |
