Minimal Working - seems too good?!

Classes/Scope.m

@@ -68,18 +68,32 @@ classdef Scope
 
         end
 
-        function yout = process(obj,xin)
-            %METHOD1 Summary of this method goes here
-            %   Detailed explanation goes here
+        function signalclass_out = process(obj,signalclass_in)
 
             % apply LPF
             lpf = Filter('filtdegree',4,"f_cutoff",obj.lpf_bw,"fsamp",obj.fsimu,"filterType",obj.filtertype);
-            yout = lpf.process(xin);
+            signalclass_in = lpf.process(signalclass_in);
+
+            % actual processing of the signal
+            signalclass_in.signal = obj.process_(signalclass_in.signal);
+
+            % append to logbook
+            lbdesc = ['Scope '];
+            signalclass_in  = signalclass_in.logbookentry(lbdesc);
+
+            % write to output
+            signalclass_out = signalclass_in;
+
+        end
+
+        function yout = process_(obj,xin)
+            %METHOD1 Summary of this method goes here
+            %   Detailed explanation goes here
 
             % sample signal
             % TODO: implement and test the delays. Also look for delay of
             % lpf filter
-            yout = obj.sampleSignal(yout);
+            yout = obj.sampleSignal(xin);
 
             % quantize signal
             yout = obj.quantize(yout);
@@ -118,7 +132,7 @@ classdef Scope
             %calc number of samples after down-sampling no offset
             obj.Nout  = ceil((Tsig - fracdelay)*obj.fadc) ;
 
-            %build a jitter vector 
+            %build a jitter vector
             jitvec = obj.buildSamplingJitterVector();
 
             % Create the index vector of the sampling instances for the real and imaginary part