https://github.com/leonard-seydoux/covseisnet
Covariance matrix analysis of network seismic data
https://github.com/leonard-seydoux/covseisnet
Last synced: 2 months ago
JSON representation
Covariance matrix analysis of network seismic data
- Host: GitHub
- URL: https://github.com/leonard-seydoux/covseisnet
- Owner: leonard-seydoux
- License: gpl-3.0
- Created: 2024-07-18T08:05:42.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-03-02T08:44:04.000Z (2 months ago)
- Last Synced: 2025-03-02T09:29:20.518Z (2 months ago)
- Language: Python
- Homepage: https://leonard-seydoux.github.io/covseisnet/
- Size: 229 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-seismology - covseisnet - Array covariance matrix analysis.  (Array seismology)
- awesome-seismology - covseisnet - Array covariance matrix analysis.  (Array seismology)
README
# Covseisnet
   
**Covseisnet** is a Python package for array signal processing, with a focus on data from seismic networks. The core mathematical object of the package is the network covariance matrix, used for signal detection, source separation, localisation, and plane-wave beamforming. The signal detection and processing methods are based on the analysis of the covariance matrix spectrum. The covariance matrix can be used as input for classical array processing tools such as beamforming and inter-station cross-correlations. You can access the documentation at https://leonard-seydoux.github.io/covseisnet/.
To provide user-friendly and efficient tools, the package builds on [ObsPy](https://github.com/obspy/obspy/wiki/), a Python toolbox for seismology, as well as [SciPy](https://www.scipy.org) and [NumPy](https://numpy.org), two Python libraries for scientific computing and linear algebra.
This library is distributed under the GNU General Public License v3.0. Contributions are welcome, and can be made via pull requests on the GitHub repository.