How to automatically distinguish a "good" from a "noisy" signal?
1 次查看(过去 30 天)
显示 更早的评论
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 个评论
Jan
2013-2-6
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.
回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Hypothesis Tests 的更多信息
产品
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!