Python package for early warning signals (EWS) of bifurcations in time series data.

Libraries to analyze numerical simulations (python3)

Libraries to analyze numerical simulations

Python binding allowing to retrieve audio levels by frequency bands given audio samples (power spectrum in fact), on a raspberry pi, using GPU FFT

Precision Radio Interferometry Simulator (for radio astronomy applications)

This is a modified version of the L-PICOLA code extending the COLA approach for simulating cosmological structure formation to theories that exhibit scale-dependent growth. It can compute matter power-spectra (CDM and total), redshift-space multipole power-spectra P0,P2,P4 and do halofinding on the fly. It can also include the effects of massive…

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

Accurate predictions for the clustering of galaxies in redshift-space in Python

C code for auto and cross power spectra evaluation.

Adaptive, sine-multitaper power spectral density estimation in R

Python functions to calculate the FFT and autocorrelation function using GPU (Cuda)

power spectra on the masked sky

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

Colored/White Guassian Noise Removal via Adaptive Thresholding in Curvelet Domain

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

A simple delay-space power spectrum estimator with proper cosmological normalization.

This web app allows you to decompose your signal data or time series using FFT and gives the opportunity to interactively investigate the signal and its spectrum (frequency spectrum, power spectrum, periodogram, and its power spectral density) using the advantage of Plotly package.

BINGO: BI-spectra and Non-Gaussianity Operator is a FORTRAN 90 code that numerically evaluates the scalar bi-spectrum and the non-Gaussianity parameter fNL in single field inflationary models involving the canonical scalar field.

LabSpec: rezonans stochastyczny

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