this is for holding javascript data
Ardo Illaste edited results_sensitivity.md
almost 10 years ago
Commit id: e017c75dc4643ff14abf84dff9280ac1bb8e0853
deletions | additions
diff --git a/results_sensitivity.md b/results_sensitivity.md
index 4774ccc..89a703a 100644
--- a/results_sensitivity.md
+++ b/results_sensitivity.md
...
## Sensitivity analysis
The sensitivity of the denoising method was explored by creating a synthetic signal with 3 pixel events (one wave and two sparks), similar to the signal shown in Figure \ref{fig:fit}, and adding to it normally distributed noise with increasing
values of standard deviation. The accuracy of the fit is calculated as the average square difference between the fit and the original clean signal. It is presented as a percentage of the maximal error which is obtained when no event regions are detected and the entire signal is fitted with just the baseline function.