diff --git a/src/addNoise.m b/src/addNoise.m
index de14825635e21d8a09597602a543bfc07fdd0df6..4439290a3f691de8dafaf5ebbc2afc665bbf04bd 100644
--- a/src/addNoise.m
+++ b/src/addNoise.m
@@ -1,15 +1,15 @@
-function F = addnoise(F, noiselevel)
-%% ADDNOISE: Adds uniformly distributed complex pseudorandom numbers to the
-%       farfield operator such that the relative Frobernius error of the perturbed data
-%       is given by noiselevel
-%  INPUT:   F - far field operator (ntheta x nd matrix)
-%           noiselevel - relative noise level (between 0 and 1)
-%  OUTPUT:  F - perturbed far field operator
-
-
-if noiselevel > 0
-    errMat = rand(size(F))-.5+1i*(rand(size(F))-.5); % matrix of u.i.d. numbers between 0 and 1
-    errMat = errMat ./ norm(errMat);
-    F = F + errMat * noiselevel * norm(F);
-    clear errMat
-end
\ No newline at end of file
+function Fn = addnoise(F, noiselevel)
+
+% Adds p%=noiselevel complex valued uniformly distributed additive error to a matrix.
+%
+% INPUT:    F           Unperturbed far field matrix, nxhat*nd-array.
+%           noiselevel  Relative noise level, between 0 and 1.
+% OUTPUT:   Fn  Perturbed far field matrix, nxhat*nd-array.
+%
+% *************************************************************************************
+
+if noiselevel > 0
+    errMat = rand(size(F))-.5+1i*(rand(size(F))-.5);
+    errMat = errMat ./ norm(errMat);
+    Fn = F + errMat * noiselevel * norm(F);
+end