Merge branch 'master' of https://github.com/SOUNDS-RESEARCH/riecovest

README.md

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 # Riemannian covariance estimation (riecovest)
 This is a package for estimation of signal covariance matrices from noisy signal and noise-only data. The package is using pymanopt to perform optimization over the specified Riemannian manifolds. 
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 **[More info and complete API documentation](https://sounds-research.github.io/riecovest/)**
 
+## References
 The code was developed as part of the paper [J. Brunnström, M. Moonen, and F. Elvander, “Robust signal and noise covariance matrix estimation using Riemannian optimization,” presented at the European Signal Processing Conference (EUSIPCO), Sep. 2024](https://eurasip.org/Proceedings/Eusipco/Eusipco2024/pdfs/0000291.pdf). The examples folder contains code to replicate the results from the paper. If you use this software in your research, please cite the paper. 
 ```
 @inproceedings{brunnstromRobust2024,