| | DEFUN_DLD (fft, args,,"-*- texinfo -*-\n\
@deftypefn {Loadable Function} {} fft (@var{x})\n\
@deftypefnx {Loadable Function} {} fft (@var{x}, @var{n})\n\
@deftypefnx {Loadable Function} {} fft (@var{x}, @var{n}, @var{dim})\n\
Compute the discrete Fourier transform of @var{A} using\n\
a Fast Fourier Transform (FFT) algorithm.\n\
\n\
The FFT is calculated along the first non-singleton dimension of the\n\
array. Thus if @var{x} is a matrix, @code{fft (@var{x})} computes the\n\
FFT for each column of @var{x}.\n\
\n\
If called with two arguments, @var{n} is expected to be an integer\n\
specifying the number of elements of @var{x} to use, or an empty\n\
matrix to specify that its value should be ignored. If @var{n} is\n\
larger than the dimension along which the FFT is calculated, then\n\
@var{x} is resized and padded with zeros. Otherwise, if @var{n} is\n\
smaller than the dimension along which the FFT is calculated, then\n\
@var{x} is truncated.\n\
\n\
If called with three arguments, @var{dim} is an integer specifying the\n\
dimension of the matrix along which the FFT is performed\n\
@seealso{ifft, fft2, fftn, fftw}\n\
@end deftypefn") |
| | DEFUN_DLD (ifft, args,,"-*- texinfo -*-\n\
@deftypefn {Loadable Function} {} ifft (@var{x})\n\
@deftypefnx {Loadable Function} {} ifft (@var{x}, @var{n})\n\
@deftypefnx {Loadable Function} {} ifft (@var{x}, @var{n}, @var{dim})\n\
Compute the inverse discrete Fourier transform of @var{A}\n\
using a Fast Fourier Transform (FFT) algorithm.\n\
\n\
The inverse FFT is calculated along the first non-singleton dimension\n\
of the array. Thus if @var{x} is a matrix, @code{fft (@var{x})} computes\n\
the inverse FFT for each column of @var{x}.\n\
\n\
If called with two arguments, @var{n} is expected to be an integer\n\
specifying the number of elements of @var{x} to use, or an empty\n\
matrix to specify that its value should be ignored. If @var{n} is\n\
larger than the dimension along which the inverse FFT is calculated, then\n\
@var{x} is resized and padded with zeros. Otherwise, if @var{n} is\n\
smaller than the dimension along which the inverse FFT is calculated,\n\
then @var{x} is truncated.\n\
\n\
If called with three arguments, @var{dim} is an integer specifying the\n\
dimension of the matrix along which the inverse FFT is performed\n\
@seealso{fft, ifft2, ifftn, fftw}\n\
@end deftypefn") |
