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πŸ“» CyberRadio

An SDR based FM/AM radio App for the desktop. Video Demo

Compatible with most SDRs supported by SoapySDR. Based on the radio-core module. Accelerated on the GPU with CUDA by #cuSignal functions.

Features

  • πŸ“» Listen to wideband FM and AM Stations with Stereo Support.
  • ⏩ Hot-swap SDRs without closing the app.
  • πŸ–±οΈ Programmable frequency shortcuts (Ctrl + Left Click).
  • πŸ“¦ Zero-installation pre-compiled binary packages.
  • πŸ’» Efficient DSP.

Compatibility

  • Linux
  • macOS Sierra
  • Windows 10
  • ARM SoC

Validated Radios

  • AirSpy HF+ Discovery
  • AirSpy R2/Mini
  • LimeSDR Mini/USB
  • PlutoSDR
  • RTL-SDR

Installation

Pre-compiled binary packages will be available once this app reaches beta. For now, if you want to try the pre-release version of the app, you should compile it yourself by following the instructions below.

System Dependencies

Ubuntu/Debian

After installing the base SoapySDR and its modules, install the direct dependencies with apt:

$ apt install libpulse-dev libsamplerate-dev libasound2-dev portaudio19-dev

Python Dependencies

$ git clone https://github.com/luigifreitas/CyberRadio
$ cd CyberRadio
$ pip3 install -r requirements.txt
Running
$ fbs run 
Compile Static Binary
$ fbs freeze
Generate Installer
$ fbs installer

Hacking

The DSP used in this project is also available on the PyAudio Repository. This is a better and more comprehensive way to start hacking this App. If you are interested in the core DSP, you should look for radio-core.

License

This module is distributed under a GPL-3.0 License. CyberRadio icon made by Freepik from www.flaticon.com

Roadmap

This is a list of unfinished tasks that I pretend to pursue soon. Pull requests are more than welcome!

  • Add AM Support.
  • Add USB/LSB Support.
  • Add TX capability.
  • Finish RDS decoder.
  • Better Stereo reliability detector.
  • Docker cross-compiler for AArch-64.
  • Docker cross-compiler for Windows.

About

πŸ“» An SDR Based FM/AM Radio For Desktop. Accelerated with #cuSignal and Numba.

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