higher-order-statistics

This repository contains MATLAB scripts and sample seismic data for appying seismid denoising proposed in: "Hybrid Seismic Denoising Using Higher‐Order Statistics and Improved Wavelet Block Thresholding"

This is the Matlab code for the paper "Denoising Higher-Order Moments for Blind Digital Modulation Identification in Multiple-Antenna Systems" published in the IEEE Wireless Communications Letters.

Replication code for simulating and estimation by GMM of DSGE models with higher-order statistics

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).

MHD Detection in ECG signals in different types of MRI scanners

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

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

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

SMART: Spherical Mass ApeRture Toolkit - Software package for a fast and precise computation of spherical aperture mass maps from the shear field, defined directly on the celestial sphere. The SMART method does not rely on planar projections and does not require the reconstruction of convergence maps.

Codebase repository for the paper: "Bispectral Analysis of Parkinsonian Rest Tremor: New Characterization and Classification Insights Pre-/Post-DBS and Medication Treatment" -

This toolbox is part of the work implemented in the MSc thesis project: Classification and Characterization of the Effect of Migraine through Functional Connectivity Characteristics: Application to EEG Recordings from a Multimorbid Clinical Sample. ------- Authors: Ioannis Ziogas & Charalampos Lamprou Copyright (C) 2022, SPBTU,ECE,AUTh

Python library for bispectral analysis of audio signals

BIPOLARS is a Python-based pipeline for computing higher-order statistical measures, such as bispectrum and power spectrum multipoles, from galaxy survey data, optimized for parallel processing and cosmological analysis.

Code to compute the 4-point correllation function binned by distances between and within 2 different pairs of galaxies