WSPR, JT65, JT9 and other weak signal modes: read, analyze, plot data. Minimalistic. Right now, the emphasis is on expressing expected ranges of SNR/Hz/Watt, binned by range (groundwave, NVIS, DX) and local time for each frequency band (3 MHz, 5 MHz, etc.). This helps understand what is feasible for general NVIS communications systems referenced to narrowband weak signal modes such as WSPR.
The swarm plot gives a sense of how many samples are at a given configuration--if the maximum width is reached, then you know there are at least N measurements for that result.
The box plot give the traditional sense of distribution of variables--here also versus dawn/morning/afternoon/dusk and distance bins.
Contents
| program | description |
|---|---|
| MaxSig | plots maximum signal on a frequency vs. distance "What's the strongest I'm heard at a distance and frequency?" |
| MapSig | plots stations and midpoint science quantities |
python setup.py develop
The programs automatically decides based on the file extension how to decode the file.
This format is inside each monthly WSPR log file.
Copy and paste (from your web browser) a database query result. Query with TX and RX callsign set to your callsign.