Metadata-Version: 2.4
Name: sensingsp
Version: 1.5.10
Summary: SensingSP™ is an open-source library designed for simulating electromagnetic sensing systems and implementing signal processing and machine learning algorithms.
Home-page: https://sensingsp.github.io/
Author: Moein Ahmadi
Author-email: moein.ahmadi@uni.lu, gmoein@gmail.com
License: MIT
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
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License-File: LICENSE
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# 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. 

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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.

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## Installation

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

```bash
pip install sensingsp
```

for more info, visit: https://sensingsp.github.io/

## Contact

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

Moein Ahmadi
Email: moein.ahmadi@uni.lu

**Signal Processing Applications in Radar and Communications (SPARC)** group

**University of Luxembourg**
