Jovian Pattern Engine

A desktop application for analyzing Jupiter's radio emissions. It processes audio from NASA PDS archives (Voyager PRA, Galileo PWS, Juno Waves) and ground stations (RadioJOVE) using DSP and machine learning: STFT-based adaptive burst detection, S/L/N-burst classification, DTW and cross-correlation similarity scoring, clustering (KMeans/DBSCAN with t-SNE/UMAP projection), spectrogram visualization, and export to CSV/JSON/HDF5 catalogs, all in a PyQt6 GUI with an optional C++ backend for ~10x speedups. It exists to give students and amateur radio astronomers the kind of analysis tooling normally locked inside research institutions.