cosmotool/external/sharp/libfftpack
2012-11-10 09:01:12 -05:00
..
bluestein.c Fixed error message. Imported libsharp 2012-11-10 09:01:12 -05:00
bluestein.h Fixed error message. Imported libsharp 2012-11-10 09:01:12 -05:00
fftpack_inc.c Fixed error message. Imported libsharp 2012-11-10 09:01:12 -05:00
fftpack.c Fixed error message. Imported libsharp 2012-11-10 09:01:12 -05:00
fftpack.h Fixed error message. Imported libsharp 2012-11-10 09:01:12 -05:00
libfftpack.dox Fixed error message. Imported libsharp 2012-11-10 09:01:12 -05:00
ls_fft.c Fixed error message. Imported libsharp 2012-11-10 09:01:12 -05:00
ls_fft.h Fixed error message. Imported libsharp 2012-11-10 09:01:12 -05:00
planck.make Fixed error message. Imported libsharp 2012-11-10 09:01:12 -05:00
README Fixed error message. Imported libsharp 2012-11-10 09:01:12 -05:00

ls_fft description:

This package is intended to calculate one-dimensional real or complex FFTs
with high accuracy and good efficiency even for lengths containing large
prime factors.
The code is written in C, but a Fortran wrapper exists as well.

Before any FFT is executed, a plan must be generated for it. Plan creation
is designed to be fast, so that there is no significant overhead if the
plan is only used once or a few times.

The main component of the code is based on Paul N. Swarztrauber's FFTPACK in the
double precision incarnation by Hugh C. Pumphrey
(http://www.netlib.org/fftpack/dp.tgz).

I replaced the iterative sine and cosine calculations in radfg() and radbg()
by an exact calculation, which slightly improves the transform accuracy for
real FFTs with lengths containing large prime factors.

Since FFTPACK becomes quite slow for FFT lengths with large prime factors
(in the worst case of prime lengths it reaches O(n*n) complexity), I
implemented Bluestein's algorithm, which computes a FFT of length n by
several FFTs of length n2>=2*n-1 and a convolution. Since n2 can be chosen
to be highly composite, this algorithm is more efficient if n has large
prime factors. The longer FFTs themselves are then computed using the FFTPACK
routines.
Bluestein's algorithm was implemented according to the description at
http://en.wikipedia.org/wiki/Bluestein's_FFT_algorithm.

Thread-safety:
All routines can be called concurrently; all information needed by ls_fft
is stored in the plan variable. However, using the same plan variable on
multiple threads simultaneously is not supported and will lead to data
corruption.