GNU Radio is a great tool for applications and dynamic
experimentation, but it doesn't have a lot of support for
static/offline analysis of time-series data. I.e. I've captured some
signal data and I want to explore its properties interactively so I
can figure out what I want to do with it in GNU Radio.
The sort of capabilities I'm looking for include: Read time-series
data from files of different formats (some too large to fit in
physical memory). Display the data, optionally applying linear
transformations. Interactively pan and zoom. Jump forwards and
backwards among time-registered events. Enable/disable/time-shift
data overlays. Export selected data to new files. Calculate and
display statistics and other non-linear transformations of selected data.
Ideally I'd like an open-source analysis framework that I can extend
in Python or C++; something like the Midas DSP tool family. I'm aware
of some Qt widgets like QtCustomPlot, and generic frameworks like
matplotlib and octave, but not of any ready-to-use applications or
frameworks that already provide the basic functionality described
above. The keywords I've tossed at Google haven't produced any
obvious solutions, and discussions I find in the archives here are a
couple years old and seem to summarize as "use maplotlib/octave".
Is any such framework available now or in development? If not, is
anybody interested in joining me offline to discuss the requirements
and design for such a thing?
Thanks.
Peter
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