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(python) resources for "offline" signal processing ?
From: |
Kristoff |
Subject: |
(python) resources for "offline" signal processing ? |
Date: |
Thu, 12 Aug 2021 13:13:56 +0200 |
User-agent: |
Mozilla/5.0 (X11; Linux x86_64; rv:78.0) Gecko/20100101 Thunderbird/78.11.0 |
Hi all,
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)
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.
I've come across libraries like numpy, scipy-signal and commpy,
visualization-tools like matplotlib and seaborn and others.
For audio, there is off course audacity.
For quick-and-dirty visualization of radio-packets, I have used inspectrum.
So there does not seams to be a lack of tool, .. perhaps there are to
many of them :-)
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.
I have already found pysdr.org to be an interesting resource.
Anybody an idea of other resources?