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2
COPYING
2
COPYING
@ -1,4 +1,4 @@
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Copyright (c) 2003, Mark Borgerding
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Copyright (c) 2003,4 Mark Borgerding
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All rights reserved.
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20
Makefile
20
Makefile
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KFVER=111
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DISTDIR=kiss_fft_v$(KFVER)
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TARBALL=kiss_fft_v$(KFVER).tar.gz
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ZIPFILE=kiss_fft_v$(KFVER).zip
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testall:
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@ -7,11 +11,21 @@ testall:
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export DATATYPE=double && cd test && make test
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tarball: clean
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find | grep -i -v cvs | zip kiss_fft.zip -@
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tar --exclude CVS --exclude .cvsignore --exclude kiss_fft.zip -cvzf kiss_fft.tar.gz .
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tar --exclude CVS --exclude .cvsignore --exclude $(TARBALL) -cvzf $(TARBALL) .
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clean:
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cd test && make clean
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cd tools && make clean
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rm -f kiss_fft.tar.gz *~ *.pyc kiss_fft.zip
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rm -f kiss_fft*.tar.gz *~ *.pyc kiss_fft*.zip
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rm -rf $(DISTDIR)
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dist: tarball
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mkdir $(DISTDIR)
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cd $(DISTDIR) && tar -zxf ../$(TARBALL)
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rm $(TARBALL)
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tar -czf $(TARBALL) $(DISTDIR)
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zip -r $(ZIPFILE) $(DISTDIR)
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rm -rf $(DISTDIR)
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upload: dist
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ncftpput upload.sourceforge.net incoming $(ZIPFILE) $(TARBALL)
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39
README
39
README
@ -8,26 +8,40 @@ incorporated into someone's C program in a few minutes with trivial licensing.
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USAGE:
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The basic usage is:
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The basic usage for 1-d complex FFT is:
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#include "kiss_fft.h"
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void * cfg = kiss_fft_alloc( nfft ,inverse_fft );
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while ...
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... // put kth sample in cx_in[k].r and cx_in[k].i
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kiss_fft( cfg , cx_in , cx_out );
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... // transformed
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... // transformed. DC is in cx_out[0].r and cx_out[0].i
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free(cfg);
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Note: frequency-domain data is stored from dc up to 2pi.
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so cx_out[0] is the dc bin of the FFT
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and cx_out[nfft/2] is the Nyquist bin (if even length FFT)
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and cx_out[nfft/2] is the Nyquist bin (if exists)
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Declarations are in "kiss_fft.h", along with a brief description of the
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functions you'll need to use. Code definitions for 1d complex FFTs are in kiss_fft.c.
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with sample usage code. For more functionality, like 2d FFTs you may need to add
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other source files to your project.
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functions you'll need to use.
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Code definitions for 1d complex FFTs are in kiss_fft.c.
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You can do other cool stuff with the extras you'll find in tools/
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* arbitrary dimension FFTs (complex only currently, apologies to Steve DeKorte -- mebbe next time )
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* real FFTs
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* fast convolution filtering
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The core fft and most tools/ code can be compiled to use float, double
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or 16bit short samples. The default is float.
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The code can be compiled to use float, double or 16bit short samples.
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The default is float.
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BACKGROUND:
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@ -68,11 +82,18 @@ UNDER THE HOOD:
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Kiss FFT uses a time decimation, mixed-radix, out-of-place FFT.
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No scaling is done. Optimized butterflies are used for factors 2,3,4, and 5.
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The real optimization code only works for even length ffts. It does two half-length
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FFTs in parallel (packed into real&imag) then twiddles.
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The fast convolution filtering uses the overlap-scrap method, slightly
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modified to put the scrap at the tail.
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LICENSE:
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BSD, see COPYING for details. Basically, "free to use, give credit where due, no guarantees"
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TODO:
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*) Add real optimization for odd length FFTs
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*) Add real optimization for odd length FFTs (DST)
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*) Add real optimization to the n-dimensional FFT
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*) Add simple windowing function, e.g. Hamming : w(i)=.54-.46*cos(2pi*i/(n-1))
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*) Make the fixed point scaling and bit shifts more easily configurable.
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@ -39,10 +39,9 @@ all: tools $(BENCHKISS) $(SELFTEST) $(BENCHFFTW) $(TESTREAL) $(TESTKFC)
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tools:
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cd ../tools && make all
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#CFLAGS=-Wall -O3 -pedantic -march=pentiumpro -ffast-math -fomit-frame-pointer -I.. -I../tools
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#-DUSE_SKIP
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CFLAGS=-Wall -O3 -pedantic -march=pentiumpro -ffast-math -fomit-frame-pointer -I.. -I../tools
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# If the above flags do not work, try the following
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CFLAGS=-Wall -O3 -I.. -I../tools
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#CFLAGS=-Wall -O3 -I.. -I../tools
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$(SELFTEST): $(SELFTESTSRC) $(SRCFILES)
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$(CC) -o $@ $(CFLAGS) $(TYPEFLAGS) -lm $+
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