S

signal-processing

MATLAB simulation, signal-processing, visualization, and analysis tools for the miniTimeCube compact neutrino and particle detector.

GitHub: https://github.com/ultralytics/miniTimeCube

https://ultralytics.com

Shared MATLAB utility functions for Ultralytics scientific computing, machine learning, data analysis, geometry, visualization, and reusable research workflows.

GitHub: https://github.com/ultralytics/functions-matlab

https://ultralytics.com

Experimental Python tools for SANDD particle-detector waveform processing, timing and charge reconstruction, candidate selection, and ROOT visualization.

GitHub: https://github.com/ultralytics/sandd

https://ultralytics.com

MATLAB signal-processing, analysis, calibration, and visualization tools for Neutron TimeCube detector data and neutron characterization research.

GitHub: https://github.com/ultralytics/ntc

https://ultralytics.com

WAVE deep learning for signal readout and reconstruction in full-waveform time-of-flight particle detectors.

GitHub: https://github.com/ultralytics/wave

https://ultralytics.com

Portfolio project for 2D seismic data processing, QC, NMO, stacking, and automated reporting in Python.

GentleCardia is an open-source, modular cardiac biosensing specification designed to create open infrastructure for human health. It provides a safety-first framework for ECG acquisition, signal processing, data interoperability, AI-assisted analysis, and future health technology development. Built for transparency, extensibility, and collaboration, GentleCardia enables researchers, developers, and innovators to create adaptable cardiac sensing systems without proprietary limitations. https://roxanneardary.com/gentlecardia/

FFTW fast Fourier transform library bindings for Kit

Deep learning system for seismic velocity inversion using a SincNet-GAT-UNet architecture, physics-informed temporal encoding, graph attention fusion, and FiLM-conditioned spatial prediction

A library to read files produced by NT-MDT software