C# implementation of Cooley–Tukey's FFT algorithm.
A small and fast Discrete Fourier Transform library
A FFT library in C, emitted by a Ocaml DAG FFT compiler. Supports both interleaved and split layouts, In-place & out-of-place C2C/R2C/C2R, 2D, and DCT/DST/DHT, with a calibrated wisdom planner. Beats Intel MKL on C2C and on multithreaded real/2D transforms. Pure C, zero dependencies.
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.
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.
Fast Fourier Transform (by using the Cooley-Tukey (butterfly) algorithm) - Algorithm designs and analysis presentation - Fall 2023 /// by theMHD & Se.MHSN
use fft (fast fourier transform) as a quick way to do convolution.
Audio signal analyzer and steganography tool using Discrete Fourier Transform.
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.
Radix-2 Cooley-Tukey FFT kernel in CUDA/C with shared-memory stage fusion and a coalesced bit-reversal transpose. Reaches 25% of cuFFT throughput and 70x over a single-threaded CPU on 1M-point transforms (NVIDIA T4). Every figure reproducible from the included Colab notebook.
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