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author | hayati ayguen <h_ayguen@web.de> | 2020-08-26 15:50:33 +0200 |
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committer | GitHub <noreply@github.com> | 2020-08-26 15:50:33 +0200 |
commit | 742aa962f5d7ee4ebac8fef3bf1f4cbcccbe3655 (patch) | |
tree | bb5808ffe679df44d24945eef25b4dc8af981cb6 /README.md | |
parent | 7ed5e2a45040ae91c0b2fade901a503c77ccf381 (diff) | |
parent | 9b888db372546ed2a730e459551cb4e01118ee35 (diff) | |
download | pffft-742aa962f5d7ee4ebac8fef3bf1f4cbcccbe3655.tar.gz |
Merge pull request #17 from hayguen/master
added pocket fft ..
Diffstat (limited to 'README.md')
-rw-r--r-- | README.md | 10 |
1 files changed, 10 insertions, 0 deletions
@@ -98,6 +98,11 @@ and `libPFFASTCONV.a` from the source files, plus the additional `libFFTPACK.a` library. Later one's sources are there anyway for the benchmark. +## Origin: +Origin for this code is Julien Pommier's pffft on bitbucket: +[https://bitbucket.org/jpommier/pffft/](https://bitbucket.org/jpommier/pffft/) + + ## Comparison with other FFTs: The idea was not to break speed records, but to get a decently fast @@ -114,6 +119,11 @@ It is also a bit focused on performing 1D convolutions, that is why it provides "unordered" FFTs , and a fourier domain convolution operation. +Very interesting is [https://www.nayuki.io/page/free-small-fft-in-multiple-languages](https://www.nayuki.io/page/free-small-fft-in-multiple-languages). +It shows how small an FFT can be - including the Bluestein algorithm, but it's everything else than fast. +The whole C++ implementation file is 161 lines, including the Copyright header, see +[https://github.com/nayuki/Nayuki-web-published-code/blob/master/free-small-fft-in-multiple-languages/FftComplex.cpp](https://github.com/nayuki/Nayuki-web-published-code/blob/master/free-small-fft-in-multiple-languages/FftComplex.cpp) + ## Benchmark results |