Filter design, periodograms, window functions, and other digital signal processing functionality

Spectral Analysis in Python

Transit and Radial velocity Interactive Fitting tool for Orbital analysis and N-body simulations: The Exo-Striker

Package to analyze EEG, ECoG and other electrophysiology formats. It allows for visualization of the results and for a GUI that can be used to score sleep stages.

NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.

Compute Lomb-Scargle periodogram, suitable for unevenly sampled data. It supports multi-threading

Plotter widgets for visualization in Pothos GUI

Least-squares (sparse) spectral estimation and (sparse) LPV spectral decomposition.

Various algorithms for spectral estimation. Based on the book "Modern Spectral Estimation - Theory & Application", Steven M. Kay.

Disentangling period signals from correlated noise in a periodogram framework

A Python wrapper of the Phase Dispersion Minimization (PDM), which is a C code written by Stellingwerf.

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.

Determine rotation periods from TESS light curves. Generate a one page PDF file for a TIC including Target Pixel File, SAP/PDCSAP TESS light curve, GLS periodogram, stellar rotation period and phase folded light curve.

Draw periodogram of real EEG data

Modern Spectral Analysis (2022 Spring)

A bundle of codes targeted on analyses of IQ data in the context of Schottky spectroscopy

Platform-independent Python wrapper for Matlab-compiled code to run FFT and Peridogram analyses on EM images.

Interactive MATLAB plot. Plot data versus indices.

The Z2n periodogram is used to find the period of a given time series

A python package to calculate and plot circadian cycle data.