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.
VectorFFT is a vectorized, pure C FFT library optimized for x86 processors (AVX-512, AVX2, SSE2) with zero external dependencies. It implements mixed-radix algorithms for common sizes and Bluestein's method for arbitrary lengths, with OpenMP multi-threading for large transforms. Designed for both digital signal processing and financial applications
Implementations of Algorithms to Architectures following : https://youtube.com/playlist?list=PLco7dux9L7g1RrB8TqUVCMEeu86D7azeg
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)
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.
use fft (fast fourier transform) as a quick way to do convolution.
Fast Fourier Transform (by using the Cooley-Tukey (butterfly) algorithm) - Algorithm designs and analysis presentation - Fall 2023 /// by theMHD & Se.MHSN.
Radix-2 Cooley-Tukey algorithm implementation in Haskell
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.
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