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!