BsaLib - a Fortran library for the Bispectral Stochastic Analysis

Higher-Order Spectral Analysis in R

These projects were part of the course Advanced Signal Processing Techniques (ECE Department, AUTH, 8th semester).

Mathematica routines to compute power spectra bispectra contributions from peturbation theory

Signal Processing

Homework assignments for Advanced Signal Processing Course / Aristotle University of Thessaloniki / Summer Semester 2021

Homework assignments for advanced signal processing course, Auth spring semester 20-21

Efficient implementation of the 2D translation-invariant bispectrum in PyTorch

Εxercises for Advanced Signal Processing Methods course in Faculty of Engineering of Aristotle's University of Thessaloniki

MPI-parallelised code to compute polyspectrum (including bispectrum) from a 3D grid

This repository is the official accompaniment to A General Framework for Robust G-Invariance in G-Equivariant Networks (submitted, NeurIPS 2023)

Python package to analyze the fourier power spectra and bispectra with wide-separation, relativistic and primordial non-gaussian effects.

Replication code for checking identification in nonlinear pruned DSGE models with Gaussian or Student's t distributed errors

Official PyTorch Implementation of "A General Framework for Robust G-Invariance in G-Equivariant Networks," NeurIPS 2023

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).

Estimators and data for window-free analysis of power spectra and bispectra

emotion recognition through eeg by using HOS method

Bispectral analysis with xarray, dask and numba

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