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@@ -12,6 +12,11 @@ license is BSD-like. PFFASTCONV does fast convolution (FIR filtering), of single precision real vectors, utilizing the PFFFT library. The license is BSD-like. +PFDSP contains a few other signal processing functions. +Currently, mixing and carrier generation functions are contained. +It is work in progress - also the API! +The fast convolution from PFFASTCONV might get merged into PFDSP. + ## Why does it exist: @@ -98,6 +103,11 @@ 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 +124,27 @@ 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) + +## Dependencies / Required Linux packages + +On Debian/Ubuntu Linux following packages should be installed: + +``` +sudo apt-get install build-essential gcc g++ cmake +``` + +for benchmarking, you should have additional packages: +``` +sudo apt-get install libfftw3-dev gnuplot +``` + +run the benchmarks with `./bench_all.sh ON` , to include benchmarks of fftw3 .. +more details in README of [https://github.com/hayguen/pffft_benchmarks](https://github.com/hayguen/pffft_benchmarks) + ## Benchmark results |