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 2. Displays the variance of the error of the calculated algorithm. Same as average error, first "window size" (M) pixels are ignored.
 
 3. The history of graphs displayed in the chart, it is possible to have graphs of all 3 LMS algorithems in the history.
-   There is no way to hide graphs, simply use "Clear" and then calculate again.
\ No newline at end of file
+   There is no way to hide graphs, simply use "Clear" and then calculate again.
+
+
+### Explanation of the ANSI C/C++ bin
+
+Choose an input file `$ CPP_NLMS -i <inputfile>`
+Any __PPM__ file can be used as input.
+
+![alt text](https://github.com/FBRDNLMS/NLMSvariants/blob/master/img/CPP_NLMS.png  "ANSI_C/C++ bin with loaded picture")
+
+The Output contains the default parameters for window size, color channel, seed for randomization, randomly generated weights and outcome of the nlms functions.
+Parameters can be changed. Please use `$ CPP_NLMS -h` so you can see an overview of the given parameters.
+
+![alt text](https://github.com/FBRDNLMS/NLMSvariants/blob/master/img/args.png "ANSI_C/C++ bin, overview of args")
+
+Logs are created by default for:
++ input data (pixels of __PPM__ file)
++ created weigths
++ each nlms function.Predicted value, input value and error value as well as square mean and deviation
++ updated weights for each nlms calculation
+
+`CPP_NLMS -i <inputfile> -g true` prints a graphical overview to `graphResults.html`. The output is an __SVG__ embedded in html.
+
+![alt text](https://github.com/FBRDNLMS/NLMSvariants/blob/master/img/lms_graphing.png "ANSI_C/C++ bin, generate graphical output ")
+
+
+![alt text](https://github.com/FBRDNLMS/NLMSvariants/blob/master/img/graphing.png "ANSI_C/C++ bin, graphical output ")
+
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