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authorhayati ayguen <h_ayguen@web.de>2020-08-26 15:50:33 +0200
committerGitHub <noreply@github.com>2020-08-26 15:50:33 +0200
commit742aa962f5d7ee4ebac8fef3bf1f4cbcccbe3655 (patch)
treebb5808ffe679df44d24945eef25b4dc8af981cb6 /README.md
parent7ed5e2a45040ae91c0b2fade901a503c77ccf381 (diff)
parent9b888db372546ed2a730e459551cb4e01118ee35 (diff)
downloadpffft-742aa962f5d7ee4ebac8fef3bf1f4cbcccbe3655.tar.gz
Merge pull request #17 from hayguen/master
added pocket fft ..
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@@ -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