I’m trying to do a broadband spectrum survey using rtl_power.
I need a baseline before inserting my lna and filters to determine the change.
So i have a honkin CSV file going from 17 Mhz to 2.6 Ghz.
The survey was done overnight for 8hrs using 500k bins for DFFT
lots of NAN (not a number) in it. Should i just replace these with an avg value?
Anyone have a good tool that will take such a large CSV and generate a waterfall that i can zoom and identify frequencies? I have pi, linux, windows and mac so anything that would help me out would be greatly appreciated!
Well, I think heatmap.py is about it. You might want to try an older version, that worked fine for me.
(I think I used this version: kmkeen.com/tmp/heatmap.py.txt)
A module that spits out a jpeg from an rtl CSV file.
A python 3.2 command line app that generates the file.
A gui app in python that uses python-gui to generate the file and “browse” the signals by frequency.
I want to make it free but i wouldn’t mind generating some revenue from it. Either advertisings while the guy generates. I dont know, have to think of that one.