Improved comments

BrainDynamicsUSYD · Nov 1, 2015 · 2176cc3 · 2176cc3
1 parent 02d656a
commit 2176cc3
Showing 1 changed file with 4 additions and 5 deletions.
diff --git a/+db_fit/quick_fit.m b/+db_fit/quick_fit.m
@@ -1,11 +1,10 @@
 function [f_fitted,P_fitted,idx,db_data,min_chisq] = quick_fit(model,target_f,target_P,force_wake_state)
     % Fit a power spectrum to a parameter combination already in a database
     % Arguments are
-    % f - experimental frequencies
-    % P - experimental power
-    % pp_f - database frequencies
-    % pp - matrix of all power spectra in database
-    % constraint_data : 1/lsq*constraint_weight is the probability. constraint_weight can be calculated externally
+    % model - BrainTrak model
+    % target_f - experimental frequencies
+    % target_P - experimental power
+    % force_wake_state - set to 1 for wake and 0 for sleep, to fit to only these states. Leave empty otherwise
     import utils.mex_trapz
 
     load db_fit/pp_allstates