fftw_test C codes which illustate the use of the FFTW Fast Fourier Transform library, by Matteo Frigo and Steven Johnson.
The FFTW library can compute the discrete Fourier transform of:
The length of the data is not required to be a power of 2. Any length of data can be processed.
The data is not restricted to 1 dimensional vectors. FFTW can handle data that is 2 or 3 dimensional. In fact, the program can handle data with any dimensionality.
Interested users should go to the FFTW home page: https://www.fftw.org/ which contains the current source code, examples, and documentation.
At link time, you must include the FFTW library. Depending on where this library is installed, an appropriate command might be
gcc myprog.c -lfftw
The computer code and data files described and made available on this web page are distributed under the MIT license
Non-free licenses may also be purchased from MIT, for users who do not want their programs protected by the GPL.
fftw_test examples are available in a C version and a FORTRAN90 version.
FFTPACK4, a C code which implements the Fast Fourier Transform (FFT) by Paul Swarztrauber and Dick Valent, translated by Andrew Fernandes;
FFTPACK5, a FORTRAN90 library which implements the Fast Fourier Transform by Paul Swarztrauber and Dick Valent;
GROMACS, examples which illustrate the use of a molecular dynamics package which uses the FFTW library.
GSL, a C++ library which includes a number of FFT routines.
NMS, a FORTRAN90 library which includes a number of FFT routines.
SFTPACK, a C code which implements the "slow" Fourier transform, intended as a teaching tool and comparison with the fast Fourier transform.
Matteo Frigo, Steven Johnson