Speaker
Description
In this workshop, we will demonstrate examples of GNU Radio processing blocks and/or flow graphs developed with assistance of AI engines. Blocks developed to date include a Peak-to-Average Power (PAPR) measurement block, a three-dimensional plot sink, and a source block that uses pre-existing speech-synthesis software to generate a stream of real-valued speech samples suitable for purposes such as testing modulation/demodulation and voice coding/decoding or providing audio ID for amateur radio repeaters. Further, we will provide a real-time demonstration in which we walk through the process of using AI to develop custom GNU Radio embedded Python blocks for additional applications and demonstrate them on live over-the-air signals (if receivable within the presentation venue) or recorded and/or synthesized signals if over-the-air reception is not feasible. Attendees will be encouraged to follow along and, if permitted, one or more may have the opportunity to show their developed code using the presenter audio-visual resources or a concurrent video chat. Finally, attendees will be asked to use AI to help them develop custom GNU Radio embedded Python blocks, and/or suggest blocks for AI-assisted development by the presenters. Blocks and flow graphs developed by the presenters will be made available for download and use under open-source license, e.g., GPL 3 or MIT, to be determined in coordination with the conference organizers.
| Talk Length | N/A |
|---|---|
| Link to Open Source Code | https://buymeacoffee.com/sdrswireless/extras |
| Acknowledge | Acknowledge In-Person |