current code and TeX. code fine?!?!?!

tex/chapters/work.tex

@@ -100,12 +100,12 @@
 	
 		\begin{figure}[t!]
 			\input{gfx/wifiop_show_optfunc_params}
-			\label{fig:wifiOptFuncTXPEXP}
 			\caption{
 				The average error (in \SI{}{\decibel}) between all reference measurements and corresponding model predictions
 				for one \docAPshort{} dependent on \docTXP{} \mTXP{} and \docEXP{} \mPLE{}
 				[known position $\mPosAPVec{}$, fixed \mWAF{}] denotes a convex function.
 			}
+			\label{fig:wifiOptFuncTXPEXP}
 		\end{figure}
 	
 		For systems that demand a higher accuracy, one can choose a compromise between fingerprinting and
@@ -138,12 +138,12 @@
 	
 		\begin{figure}[t!]
 			\input{gfx/wifiop_show_optfunc_pos_yz}
-			\label{fig:wifiOptFuncPosYZ}
 			\caption{
 				The average error (in \SI{}{\decibel}) between reference measurements and model predictions
 				for one \docAPshort{} dependent on $y$- and $z$-position [fixed $x$, \mTXP{}, \mPLE{} and \mWAF{}]
 				usually denotes a non-convex function with multiple [here: two] local minima.
 			}
+			\label{fig:wifiOptFuncPosYZ}
 		\end{figure}
 		
 		Such functions demand for optimization algorithms, that are able to deal with non-convex functions,
@@ -186,6 +186,9 @@
 		axis-aligned bounding box. This approach allows a distinction between in- and outdoor-regions
 		or locations that are expected to highly differ from their surroundings.
 		
+		\todo{AP wird in einer region nur dann beruecksichtigt, wenn mindestanzahl an messungen vorhanden ist!}
+		
+		\todo{das heißt aber, dass an unterschiedlichen stellen unterschiedlich viele APs verglichen werden. das geht ned. deshalb feste -100}
 	
 	\subsection{\docWIFI{} quality factor}
 	
@@ -243,8 +246,11 @@
 		When scanning for \docAPshort{}s one will thus receive several responses from the same hardware, all with
 		a very small delay (micro- to milliseconds). Such measurements may be grouped using some aggregate
 		function like average, median or maximum.
-
-
+		
+		Furthermore, VAP grouping can be used to suppress unlikely observations: If a physical hardware is known
+		to provide six virtual networks, it is unlikely to only see one of those networks. This is likely due to
+		temporal effects and/or multipath signal propagation and the received signal strength will often be far from
+		the normal average. It thus makes sense to just omit such unlikely observations, focusing on the remaining, stable ones.