Re: (python) resources for "offline" signal processing ?

Universal Radio Hacker! I've been using it for a while and it's fantastic.
There's an official guide as well as a paper that was published by the author. You can install it with:
pip install urh

I installed it on a fresh Ubuntu 20 system last night and other than having to reinstall numpy installation was smooth.

GNURadio will always be my go to and my favorite Signal processing tool, but URH definitely gets installed second in my toolkit.

Feel free to reach out off-line if you have questions.
<end transmission>

> On Aug 12, 2021, at 07:15, Kristoff <kristoff@skypro.be> wrote:
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> Hi all,
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> Does anybody have a list of good python resources for "non-real-time" signal-processing of radio-signals.
> ("non-real time" as in "an iq-file of prerecorded dataframe", in contrast a continuous stream like a GR flowgraph)
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> Say you start with the IQ-file of a HFDL-packet and you would want to analyse and visualize it, take it apart, demodulate and decode it, etc.
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> I've come across libraries like numpy, scipy-signal and commpy, visualization-tools like matplotlib and seaborn and others.
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> For audio, there is off course audacity.
> For quick-and-dirty visualization of radio-packets, I have used inspectrum.
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> So there does not seams to be a lack of tool, .. perhaps there are to many of them :-)
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> It would be nice to have a overview of what tools/libraries are available to do what, and what would the good method to build a 'flow' to -say- build a GR block for a HFDL packet decoder.
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> I have already found pysdr.org to be an interesting resource.
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> Anybody an idea of other resources?
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