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OpenWebRX
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=========
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OpenWebRX is a multi-user SDR receiver software with a web interface.
![OpenWebRX ](/screenshot.jpg?raw=true )
It has the following features:
- < a href = "https://github.com/simonyiszk/csdr" > libcsdr</ a > based demodulators (AM/FM/SSB),
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- filter passband can be set from GUI,
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- waterfall display can be shifted back in time,
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- it extensively uses HTML5 features like WebSocket, Web Audio API, and < canvas> .
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- it works in Google Chrome, Chromium (above version 37) and Mozilla Firefox (above version 28),
- currently only supports RTL-SDR, but other SDR hardware may be easily added.
## Setup
OpenWebRX currently requires a Linux machine to run.
First you will need to install the dependencies:
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- < a href = "https://github.com/simonyiszk/csdr" > libcsdr</ a >
- < a href = "http://sdr.osmocom.org/trac/wiki/rtl-sdr" > rtl-sdr</ a >
After cloning this repository and connecting an RTL-SDR dongle to your computer, you can run the server:
python openwebrx.py
You can now open the GUI at < a href = "http://localhost:8073" > http://localhost:8073< / a > .
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Please note that the server is also listening on the following ports (on localhost only):
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- port 8888 for the I/Q source,
- port 4951 for the multi-user I/Q server.
Now the next step is to customize the parameters of your server in `config_webrx.py` .
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Actually, if you do something cool with OpenWebRX (or just have a problem), please drop me a mail:
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*Andras Retzler, HA7ILM < randras@sdr.hu> *
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I would like to maintain a list of online amateur radio receivers on < a href = "http://sdr.hu/" > sdr.hu< / a > .
## Usage tips
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The filter envelope can be dragged at its ends and moved around to set the passband.
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However, if you hold the shift key, you can drag the center line (BFO) or the whole passband (PBS).
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## Configuration tips
If you want to run OpenWebRX on a remote server instead of localhost, do not forget to set *server_hostname* in `config_webrx.py` , or you may get a WebSocket error.
DSP CPU usage can be fine-tuned in `plugins/dsp/csdr/plugin.py` : you can set transition bandwidths higher (thus degrade filter performance by decreasing the length of the kernel, but also decrease CPU usage).
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## Todo
Currently, clients use up a lot of bandwidth. This will be improved later.