This repository includes useful MATLAB codes for the detection of SSVEP in EEG signals using spatial filters, frequency recognition algorithms, and machine-learning methods.
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Updated
May 30, 2024 - Jupyter Notebook
This repository includes useful MATLAB codes for the detection of SSVEP in EEG signals using spatial filters, frequency recognition algorithms, and machine-learning methods.
A high-performance, "quantum-inspired" Fast Fourier Transform (FFT) library written in pure and safe Rust.
The 2DECOMP&FFT library provides access to a slabs and pencil decompositions as well as FFTs.
Demonstartion how to use Fast Fourier Transform (FFT) with Python
This is an official pytorch implementation of Fast Fourier Convolution.
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
Fast, modern C++ DSP framework, FFT, Sample Rate Conversion, FIR/IIR/Biquad Filters (SSE, AVX, AVX-512, ARM NEON)
Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples
Faster-than-light Fourier Transform. DCT2 implementation. Project for the Methods of Scientific Calculation course @unimib18/19.
🦋 n-point iDFT calculator app (DFT, IDFT, FFT)
Ocean Simulation Based on a Model By Keith Lantz (https://www.keithlantz.net/)
The Marinchip/Autodesk/Fourmilab floating point benchmark, used since 1980 to evaluate the performance of machines and compilers on trigonometry-intensive floating point computations
Computer Science and related topics are the main focus of this repository. Mainly, Python language is used here.
Multi-dimensional arrays (or tensors) for performing numpy like operations (Fun Project in Development)
A Kotlin library for audio analysis: FFT, pitch shifting and accurate BPM detection for .wav files.
An `arkworks` library for low-degree testing
This is the official repository of LabDeck's FFT(Fast Fourier Transform) examples. It includes both PDF and MDD files. Please note that while GitHub is unable to open and showcase MDD files, you can download and run them without any problems.
Prácticas de la asignatura Álgebra Computacional (2023-2024).
A Volume Integral Equation-Fast Fourier Transform Method for Modeling Optical Response of Nanostructures
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