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.
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:
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
1 maintainer
Metadata
1 maintainer
Release files for sensingsp 1.5.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sensingsp-1.5.10.tar.gz | 224.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sensingsp-1.5.10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 472.1 kB
Release files / sensingsp-1.5.10.tar.gz
| Download URL | sensingsp-1.5.10.tar.gz |
|---|---|
| Size | 224.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.11.13
|
Release files / sensingsp-1.5.10-py3-none-any.whl
| Download URL | sensingsp-1.5.10-py3-none-any.whl |
|---|---|
| Size | 247.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.13
|
