Fft
FFT (Fast Fourier Transform): SSE, AVX, AVX2
Install / Use
/learn @kfrlib/FftREADME
kfr-fft
Highly optimized FFT
KFR is a fast, modern C++ DSP framework, DFT/FFT, Audio resampling, FIR/IIR Filtering, Biquad, vector functions (SSE, AVX)
Features
- FFT is optimized for SSE2, SSE3, SSE4.x, AVX and AVX2 processors
- Both double and single precision
Performace
FFT (double precision, sizes from 1024 to 16777216) See fft benchmark for details about benchmarking process.

Prerequisities
- macOS: XCode 6.3, 6.4, 7.x, 8.x
- Windows: MinGW 5.2 and Clang 3.7 or newer
- Ubuntu: GCC 5.1 and Clang 3.7 or newer
- CoMeta metaprogramming library (already included)
Tests
Execute build.py to run the tests or run tests manually from the tests directory
Tested on the following systems:
- OS X 10.11.4 / AppleClang 7.3.0.7030031
- Ubuntu 14.04 / gcc-5 (Ubuntu 5.3.0-3ubuntu1~14.04) 5.3.0 20151204 / clang version 3.8.0 (tags/RELEASE_380/final)
- Windows 8.1 / MinGW-W64 / clang version 3.8.0 (branches/release_38)
Planned for future versions
- DFT for any lengths (not only powers of two)
License
KFR is dual-licensed, available under both commercial and open-source GPL license.
If you want to use KFR in commercial product or a closed-source project, you need to purchase a Commercial License
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