Free software is a cornerstone of any modern
free society. We build this foundation.
With your help, we will raise $450,000 this
winter to make this foundation even stronger.
Donate today, and build us up for 2014.
Using a simple array as input, a 2-dimensional Fast Fourier Transform consists of two one-dimensional FFTs performed (for instance) on each line first, and on each column next. An important limitation in FFT computer applications dealing with large arrays is the fact that the algorithm is not well suited to parallelization, due to the huge amount of data that has to be transfered between computers. Since the transfers are proportional to the number of operations, network time soon becomes prominent when the number of processors is high. This program uses vectorization as an alternative to parallelization methods.
released on 1 January 1970
|License||Verified by||Verified on||Notes|
|GPLv2orlater||Ted Teah||23 August 2006|
Leaders and contributors
Resources and communication
|Required to use||OFFT|
This entry (in part or in whole) was last reviewed on 23 August 2006.
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.
The copyright and license notices on this page only apply to the text on this page. Any software described in this text has its own copyright notice and license, which can usually be found in the distribution itself.