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Covariance analysis of seismic network data

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**Covseisnet** <br>
Covariance analyses of seismic networks in Python <br><br>

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**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.

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