Pyortho is a python package for local signal-and-noise orthogonalization and local similarity calculation. The local orthogonalization method is a fundamental seismic data analysis algorithm and has a wide range of applications. More examples will be continuously updated.
NOTE: If you use this package to calculate local orthogonalization weight and local similarity, please show courtesy to cite the reference below. Using local similarity to calculate the signal leakage was first ever used in the work by Chen and Fomel (2015), please show courtesy if you use it for the same purpose.
Chen, Y. and S. Fomel. "Random noise attenuation using local signal-and-noise orthogonalization." Geophysics 80, no. 6 (2015): WD1-WD9.
BibTeX:
@article{chen2015random,
title={Random noise attenuation using local signal-and-noise orthogonalization},
author={Chen, Yangkang and Fomel, Sergey},
journal={Geophysics},
volume={80},
number={6},
pages={WD1--WD9},
year={2015},
publisher={Society of Exploration Geophysicists}
}
pyortho developing team, 2022-present
GNU General Public License, Version 3
(http://www.gnu.org/copyleft/gpl.html)
Using the latest version
git clone https://github.com/aaspip/pyortho
cd pyortho
pip install -v -e .
or using Pypi
pip install pyortho
The "demo" directory contains all runable scripts to demonstrate different applications of pyortho.
- scipy
- numpy
- matplotlib
The development team welcomes voluntary contributions from any open-source enthusiast.
If you want to make contribution to this project, feel free to contact the development team.
Regarding any questions, bugs, developments, collaborations, please contact
Yangkang Chen
chenyk2016@gmail.com
The gallery figures of the MATortho package can be found at https://github.com/chenyk1990/gallery/tree/main/matortho Each figure in the gallery directory corresponds to a DEMO script in the "demo" directory with the exactly the same file name.
The following figure shows a 2D denoising example using the pyortho package. Generated by demos/test_pyortho_localortho2d.py
The following figure shows a 3D denoising example using the pyortho package. Generated by demos/test_pyortho_localortho3d.py
