| | DEFUN_DLD (fft2, args,,"-*- texinfo -*-\n\
@deftypefn {Loadable Function} {} fft2 (@var{A})\n\
@deftypefnx {Loadable Function} {} fft2 (@var{A}, @var{m}, @var{n})\n\
Compute the two-dimensional discrete Fourier transform of @var{A} using\n\
a Fast Fourier Transform (FFT) algorithm.\n\
\n\
The optional arguments @var{m} and @var{n} may be used specify the\n\
number of rows and columns of @var{A} to use. If either of these is\n\
larger than the size of @var{A}, @var{A} is resized and padded with\n\
zeros.\n\
\n\
If @var{A} is a multi-dimensional matrix, each two-dimensional sub-matrix\n\
of @var{A} is treated separately.\n\
@seealso {ifft2, fft, fftn, fftw}\n\
@end deftypefn") |
| | DEFUN_DLD (ifft2, args,,"-*- texinfo -*-\n\
@deftypefn {Loadable Function} {} ifft2 (@var{A})\n\
@deftypefnx {Loadable Function} {} ifft2 (@var{A}, @var{m}, @var{n})\n\
Compute the inverse two-dimensional discrete Fourier transform of @var{A}\n\
using a Fast Fourier Transform (FFT) algorithm.\n\
\n\
The optional arguments @var{m} and @var{n} may be used specify the\n\
number of rows and columns of @var{A} to use. If either of these is\n\
larger than the size of @var{A}, @var{A} is resized and padded with\n\
zeros.\n\
\n\
If @var{A} is a multi-dimensional matrix, each two-dimensional sub-matrix\n\
of @var{A} is treated separately\n\
@seealso {fft2, ifft, ifftn, fftw}\n\
@end deftypefn") |
