A small and fast Discrete Fourier Transform library
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Updated
Aug 11, 2025 - C
A small and fast Discrete Fourier Transform library
C# implementation of Cooley–Tukey's FFT algorithm.
Fast-Fourier Transform in 2D. Examination of Cooley-Tukey Algorithm for 2D FFT, image I/O for FFT, and a shared memory implementation of FFT on the GPU.
Permutation-free mixed-radix FFT library in C with hand-tuned AVX2/AVX-512 codelets for 18 radixes, zero-allocation in-place execution, and a calibrated wisdom planner. Beats Intel MKL on 207/207 cells (median 2.36×) and FFTW3 on 202/207 (median 3.21×). Pure C, no runtime dependencies.
Implementations of Algorithms to Architectures following : https://youtube.com/playlist?list=PLco7dux9L7g1RrB8TqUVCMEeu86D7azeg
Fast Discrete Cosine Transform (FCT) using an FFT optimzed for real input sequences
University project of the Advanced Methods for Scientific Computing course. Implementation of the Cooley-Tukey algorithm (parallel and sequential) for computing the Fast Fourier Transform (FFT) and its inverse.
The Cooley-Tukey algorithm is the Most Common Form of The Fast Fourier Transform (FFT). It Revolutionised Digital Signal Processing by Drastically Reducing the Time it Takes to Compute a Discrete Fourier Transform (DFT)
Radar DSP SIMULATION :: I/Q generation → Windowing → FFT/PSD → CA-CFAR → TMR majority vote → Doppler/velocity estimation → Tracker (SEARCH/LOCKED) → Kalman filter → Watchdog | SIM - Not Real hardware.
use fft (fast fourier transform) as a quick way to do convolution.
The original FFT implementation by Cooley-Tukey as written in the 1965 paper "An Algorithm for the Machine Calculation of Complex Fourier Series" written in Python.
Radix-2 Cooley-Tukey algorithm implementation in Haskell
Fast Fourier Transform (by using the Cooley-Tukey (butterfly) algorithm) - Algorithm designs and analysis presentation - Fall 2023 /// by theMHD & Se.MHSN
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