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## Installation
Use `$ make` or compile it anywhere else.
This code is ANSI compatible . Nevertheless if you use Visual Studio use the C++ implementation in __../src/cpp_implementation__
## Features
This little piece of code compares 3 different implementations of a least mean square filter.
+ local mean
+ direct predecessor
+ differential predecessor
Greyscale PPM files can be used for input at this iteration. Output will be generated as .txt files with predicted value generated by the filter and its error value as well as given actual value from the PPM file. Furthermore there is an output as an svg graph to compare the implementatiosn on a visual level. These graphical results are build from __graphResults_template.html__ which creates the actual output to __graphResults.html__. Open this file to see the results.
You can hide graphs by clicking on its name for better visibility.
Use `$ ./lms -h` for help.