Metadata-Version: 2.1
Name: sensingsp
Version: 1.2.0
Summary: SensingSP™: Open-source library for simulating electromagnetic sensing systems and implementing signal processing and machine learning algorithms. Developed by the Signal Processing Applications in Radar and Communications (SPARC) group at the University of Luxembourg with support from IEE S.A.
Home-page: https://sensingsp.github.io/
Author: Moein Ahmadi
Author-email: moein.ahmadi@uni.lu, gmoein@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.10
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Provides-Extra: no_deps
License-File: LICENSE

# Sensing Signal Processing (SensingSP™)

## Overview
**SensingSP™** is an open-source library designed for simulating electromagnetic sensing systems and implementing signal processing and machine learning algorithms. 

The library is developing in the **Signal Processing Applications in Radar and Communications (SPARC)** group at the **University of Luxembourg**, with support from **IEE S.A.**

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## Features
- Simulate electromagnetic-based sensing systems.
- Implement advanced radar and signal processing algorithms.
- Leverage machine learning techniques for enhanced sensing capabilities.

---

## Installation

To install SensingSP™ and its dependencies, run the following command:

```bash
pip install sensingsp
```

## Contact

For inquiries, suggestions, or contributions, feel free to reach out:

Moein Ahmadi
Email: moein.ahmadi@uni.lu

