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

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

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

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).

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

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

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

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

BsaLib - a Fortran library for the Bispectral Stochastic Analysis

Higher-Order Spectral Analysis in R

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

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

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.

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

emotion recognition through eeg by using HOS method

Bispectral analysis with xarray, dask and numba

A Python signal analysis toolbox for computing spectral-domain interactions using the bispectrum.

Official PyTorch implementation of Bispectral Neural Networks, ICLR 2023