Metadata-Version: 2.4
Name: oscfar
Version: 1.1.16
Summary: Order Statistic Constant False Alarm Rate detector package
Author: Chloé Legué
Author-email: chloe.legue@mail.mcgill.ca
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: statsmodels
Requires-Dist: uncertainties
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# `oscfar`

<p align=center>
<a target="_blank" href="https://www.python.org/downloads/" title="Python version"><img src="https://img.shields.io/badge/python-%3E=_3.8-green.svg"></a>
<a target="_blank" href="https://pypi.org/project/oscfar/" title="PyPI version"><img src="https://img.shields.io/pypi/v/oscfar?logo=pypi"></a>
</p>

OSCFAR (Order Statistic Constant False Alarm Rate) is a radar signal processing technique used for target detection. It adaptively estimates the noise or clutter power in the vicinity of a potential target and sets a detection threshold accordingly, maintaining a constant false alarm rate regardless of the background noise characteristics.

> Installation instruction are in [Getting Started](https://chujo58.github.io/oscfar/getstarted.html)
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