2017-11-09, 22:50
Well, let me bring up another way of looking at the problem. I'm used to discuss requirements and possible solutions in my business. In here we have a lot of requirements, or wishes, partly nice to haves.
I brought up the idea to categorize the signals into real sferics, something close to a sferic (e.g. with too high time shift due to reflections or filters), signals from sferics where too few stations participated (e.g. in regions with few stations), sporadic noise, repeated noise, maybe more. I still think that info (for every single signal or as statistics) helps to tune the station. My question now is: is the one implementing the changes (is that Egon by the way?) able to distinguish these kind of signals? Do I have to / Should I add more details about the way to do it (not sure if I can) or should I stop asking for it?
PLEASE: we need (in general, not only regarding this idea) some feedback. What is possible? For which money / effort? What needs more input? What needs even completely new technology/solutions?
I brought up the idea to categorize the signals into real sferics, something close to a sferic (e.g. with too high time shift due to reflections or filters), signals from sferics where too few stations participated (e.g. in regions with few stations), sporadic noise, repeated noise, maybe more. I still think that info (for every single signal or as statistics) helps to tune the station. My question now is: is the one implementing the changes (is that Egon by the way?) able to distinguish these kind of signals? Do I have to / Should I add more details about the way to do it (not sure if I can) or should I stop asking for it?
PLEASE: we need (in general, not only regarding this idea) some feedback. What is possible? For which money / effort? What needs more input? What needs even completely new technology/solutions?
Supporting the first station in India 1974
Stations:
Stations: