GNU Octave  3.8.0
A high-level interpreted language, primarily intended for numerical computations, mostly compatible with Matlab
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Functions File Reference
#include <algorithm>
#include "oct-fftw.h"
#include "defun-dld.h"
#include "error.h"
#include "ov.h"
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 DEFUN_DLD (fftw, args,,"-*- texinfo -*-\n\ @deftypefn {Loadable Function} {@var{method} =} fftw (\"planner\")\n\ @deftypefnx {Loadable Function} {} fftw (\"planner\", @var{method})\n\ @deftypefnx {Loadable Function} {@var{wisdom} =} fftw (\"dwisdom\")\n\ @deftypefnx {Loadable Function} {} fftw (\"dwisdom\", @var{wisdom})\n\ @deftypefnx {Loadable Function} {} fftw (\"threads\", @var{nthreads})\n\ @deftypefnx {Loadable Function} {@var{nthreads} =} fftw (\"threads\")\n\ \n\ Manage @sc{fftw} wisdom data. Wisdom data can be used to significantly\n\ accelerate the calculation of the FFTs, but implies an initial cost\n\ in its calculation. When the @sc{fftw} libraries are initialized, they read\n\ a system wide wisdom file (typically in @file{/etc/fftw/wisdom}), allowing\n\ wisdom to be shared between applications other than Octave. Alternatively,\n\ the @code{fftw} function can be used to import wisdom. For example,\n\ \n\ @example\n\ @var{wisdom} = fftw (\"dwisdom\")\n\ @end example\n\ \n\ @noindent\n\ will save the existing wisdom used by Octave to the string @var{wisdom}.\n\ This string can then be saved to a file and restored using the @code{save}\n\ and @code{load} commands respectively. This existing wisdom can be\n\ re-imported as follows\n\ \n\ @example\n\ fftw (\"dwisdom\", @var{wisdom})\n\ @end example\n\ \n\ If @var{wisdom} is an empty string, then the wisdom used is cleared.\n\ \n\ During the calculation of Fourier transforms further wisdom is generated.\n\ The fashion in which this wisdom is generated is also controlled by\n\ the @code{fftw} function. There are five different manners in which the\n\ wisdom can be treated:\n\ \n\ @table @asis\n\ @item @qcode{\"estimate\"}\n\ Specifies that no run-time measurement of the optimal means of\n\ calculating a particular is performed, and a simple heuristic is used\n\ to pick a (probably sub-optimal) plan. The advantage of this method is\n\ that there is little or no overhead in the generation of the plan, which\n\ is appropriate for a Fourier transform that will be calculated once.\n\ \n\ @item @qcode{\"measure\"}\n\ In this case a range of algorithms to perform the transform is considered\n\ and the best is selected based on their execution time.\n\ \n\ @item @qcode{\"patient\"}\n\ Similar to @qcode{\"measure\"}, but a wider range of algorithms is\n\ considered.\n\ \n\ @item @qcode{\"exhaustive\"}\n\ Like @qcode{\"measure\"}, but all possible algorithms that may be used to\n\ treat the transform are considered.\n\ \n\ @item @qcode{\"hybrid\"}\n\ As run-time measurement of the algorithm can be expensive, this is a\n\ compromise where @qcode{\"measure\"} is used for transforms up to the size\n\ of 8192 and beyond that the @qcode{\"estimate\"} method is used.\n\ @end table\n\ \n\ The default method is @qcode{\"estimate\"}. The current method can\n\ be queried with\n\ \n\ @example\n\ @var{method} = fftw (\"planner\")\n\ @end example\n\ \n\ @noindent\n\ or set by using\n\ \n\ @example\n\ fftw (\"planner\", @var{method})\n\ @end example\n\ \n\ Note that calculated wisdom will be lost when restarting Octave. However,\n\ the wisdom data can be reloaded if it is saved to a file as described\n\ above. Saved wisdom files should not be used on different platforms since\n\ they will not be efficient and the point of calculating the wisdom is lost.\n\ \n\ The number of threads used for computing the plans and executing the\n\ transforms can be set with\n\ \n\ @example\n\ fftw (\"threads\", @var{NTHREADS})\n\ @end example\n\ \n\ Note that octave must be compiled with multi-threaded @sc{fftw} support for\n\ this feature. The number of processors available to the current process is\n\ used per default.\n\ \n\ @seealso{fft, ifft, fft2, ifft2, fftn, ifftn}\n\ @end deftypefn")

Function Documentation

DEFUN_DLD ( fftw  ,