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