Libraries to analyze numerical simulations (python3)
Libraries to analyze numerical simulations
A Python signal analysis toolbox for computing spectral-domain interactions using the bispectrum.
Official PyTorch implementation of Bispectral Neural Networks, ICLR 2023
Matlab Code for Bispectral Analysis of Signals
Cosmological Python package for forecasts of Large-Scale Structutre clustering with the fourier power spectra and bispectra. Focusing on large scales with the inclusion of wide-separation, relativistic and Primordial non-Gaussianity.
spatialstats is collection of statistical tools and utility routines used to analyze the multi-scale structure of 2D and 3D spatial fields and particle distributions.
Replication code for simulating and estimation by GMM of DSGE models with higher-order statistics
emotion recognition through eeg by using HOS method
Analysis of Phonocardiogram signals using Empirical Mode Decomposition and Higher Order Statistics. This project was part of the course Advanced Signal Processing Techniques (ECE Department, AUTH, 8th semester).
Bispectral analysis with xarray, dask and numba
Estimators and data for window-free analysis of power spectra and bispectra
Official PyTorch Implementation of "A General Framework for Robust G-Invariance in G-Equivariant Networks," NeurIPS 2023
Replication code for checking identification in nonlinear pruned DSGE models with Gaussian or Student's t distributed errors
Efficient implementation of the 2D translation-invariant bispectrum in PyTorch
MPI-parallelised code to compute polyspectrum (including bispectrum) from a 3D grid
Homework assignments for Advanced Signal Processing Course / Aristotle University of Thessaloniki / Summer Semester 2021
Εxercises for Advanced Signal Processing Methods course in Faculty of Engineering of Aristotle's University of Thessaloniki
Homework assignments for advanced signal processing course, Auth spring semester 20-21
This repository is the official accompaniment to A General Framework for Robust G-Invariance in G-Equivariant Networks (submitted, NeurIPS 2023)
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