MATLAB Answers

How to automatically distinguish a "good" from a "noisy" signal?

1 view (last 30 days)
Felix
Felix on 6 Feb 2013
In the example below, you see on the left side a "good" signal, which in my case would be characterized by little fluctuation (especially during the baseline period, seconds 1 to 10) and then sometime after second 10 (where a stimulus happens) a large peak. I don't want to make any assumptions about the shape, just assign some kind of qualitative measure so that I can find the optimal curve of many of these...
I think my best bet so far would be find the highest z-score between ~11-20s relative to baseline...

  1 Comment

Jan
Jan on 6 Feb 2013
You have very few data for the automatic estimation of a quality. Even for a human eye it is not trivial to distinguish noise from the signal in your diagrams.

Sign in to comment.

Answers (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!