Make fun of fourier transform.
-
Updated
Jan 11, 2024 - Python
Make fun of fourier transform.
Python library for fast time-series analysis on CUDA GPUs
1D, super-resolution brightness profile reconstruction for interferometric sources
Library for numerically solving the Gross-Pitaevskii equations for scalar, two-component, spin-1, and spin-2 Bose-Einstein condensate systems.
Python Implementation of Aperiodic Fourier Modal Method for solving Maxwell equations.
Physical optics in Python
Search for periodic signals in noisy time series using Fourier methods
Simple Gross-Pitaevskii Equation solver using FFTW
StochasticA is a textbook / website for an “Introduction to Stochastic Signal Processing”. Materials for this website can be found here. Be sure to read the README.md document if you want to know more about the implementation.
PDE solver focused on Navier-Stokes (and related) equations with arbitrary boundary conditions, employing Fourier (FC-Gram) expansions. Parallelized using MPI-OpenMP-CUDA.
Practical applications of the Fourier series expansion in the field of structural engineering
Simple Fast Fourier Transform Website. For studying signals.
This repo contains my Python programming practice including some tasks/assignments in Python programming.
Extract ADSR envelope and spectral content of musical instruments from audio samples
Repository for the Master-Thesis project on OBCs Drude weight (2019)
Program that computes FC-Gram tables, written in Fortran 90.
My undergraduate research project with John D. Carter that implements the nontrivial time-periodic solution computer for the Whitham equation. Algorithm provided by David Ambrose & Jon Wilkening (2010).
Efficiently computing Fourier transforms
Extending state-of-the-art Time Series Forecasting with Subsequence Time Series (STS) Clustering to enforce model seasonality adaptation.
Implementation codes for NeurIPS23 paper "Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts"
Add a description, image, and links to the fourier-methods topic page so that developers can more easily learn about it.
To associate your repository with the fourier-methods topic, visit your repo's landing page and select "manage topics."