loudify
Running a GNU Radio flowgraph in a ZMQ client <-> broker <-> worker setup.
Loudify: LoRa cloudified
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Summary
This project consist of three different parts namely the client that is running a GNU Radio flowgraph, the worker receiving the data and doing the actual demodulation process and the broker connecting the two together. This repo holds the code for all the parts, be sure to check out gr-lora_sdr to see how this codes integrates into GNU Radio.
Docs
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Architecture
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. Make sure to add or update tests as appropriate.
Changelog
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Metadata
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Release files for loudify 0.0.post11
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| loudify-0.0.post11.tar.gz | 1.1 MB | Without provenance | Details for loudify-0.0.post11.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| loudify-0.0.post11-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details for loudify-0.0.post11-py2.py3-none-any.whl |
Total release size: 1.1 MB
Release files / loudify-0.0.post11.tar.gz
| Download URL | loudify-0.0.post11.tar.gz |
|---|---|
| Size | 1.1 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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python-requests/2.25.1
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Release files / loudify-0.0.post11-py2.py3-none-any.whl
| Download URL | loudify-0.0.post11-py2.py3-none-any.whl |
|---|---|
| Size | 13.7 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-requests/2.25.1
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Security for loudify 0.0.post11
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