This project focuses on improving the analysis and separation of overlapping spectral peaks in mass spectrometry data. Accurate detection and separation of these peaks are crucial for identifying substances in complex mixtures, which has applications in various fields such as biochemistry, pharmacology, and environmental science.

A tool for efficient processing of spectral images with Python.

📊📈🔬 SpectraFit is a command-line and Jupyter-notebook tool for quick data-fitting based on the regular expression of distribution functions.

A library for spectral analysis.

Efficient library for spectral analysis in high-energy astrophysics.

A fast Lomb-Scargle periodogram. It's nifty, and uses a NUFFT!

A fast solid-state NMR spectrum simulation and analysis library.

🎧 Piano-Perfect Audio Spectrogram. Unlock a hidden Absolute Pitch in you. Lightning fast, reliable, customizable.

Heavy-tailed ESD without gradient noise

GUI based Data Analytics software used to plot, compare and analyse NRTI/NRCA spectra.

GUI application for calculating human-visible colors of celestial bodies from their photometric data

Analyze your API Specs with Azure API Center (Preview)

Data pre-processing with modular components for: normalizer/standarizer, unbiaser, trimmer and feature selector.

EEGLAB is an open source signal processing environment for electrophysiological signals running on Matlab and developed at the SCCN/UCSD

Official implementation of SPANet in ICCV2023

System Identification toolbox, compatible with ControlSystems.jl

The aim of this project involves the analyses the data, removing trends and seasonal effects, identifying the underlying process, understanding the dominant frequencies, and using the residuals to make predictions.

SHTOOLS - Spherical Harmonic Tools

The Multi-Mission Maximum Likelihood framework (3ML)

pyRATES Workshop: Python and R Analysis of Time SerieS