Hello MRSHub Community,
I’d like to gain a deeper understanding of the signal averaging process in Gannet, specifically the Weighted averaging method.
After reading some forum posts, I’ve gathered that this method reduces the influence of low-quality signals in the overall scan. I’m interested in learning more about how it identifies and classifies signals of poor quality.
Unfortunately, the Gannet documentation lacks a detailed description of the Weighted averaging method: (Preprocessing)
Could you please provide more information on how Gannet implements this method? Your assistance would be greatly appreciated.
Thank you for the help,