NLMSvariants/bin/README.md

README

Short explenation of the c# .exe

1. Choose the algorithm u want to calculate on and press "start" or "enter"

2. Choose the number of pixels you want to go for. For more than 20,000 pixels, please use the c .exe, because this version is not optimized for high number of pixels. Only for visualising small amount of pixel results.

3. Clears the screen and reprints the actual values of your picture or predefined values

4. Choose the learnrate and window size you want, learnrate has to be over 0.0 and under or even 1.0. The window size has to be an integer.

5. Loads a picture, it has to be BMP, GIF, EXIF, JPG, PNG or TIFF

6. Check this for generating outputfiles in the same direktory you started your .exe in Outputfiles are : weights.txt, weights_after.txt, localMean|directPredecessorer|differentialPredecessorer.txt, results.txt

7. Chart where the algorithems output is displayed

1. Displays the average error of the calculated algorithm. The first "window size" (M) pixels are ignored for this calulation, because the not updated weights are causing wrong calculations. You can see it by entering more than 20 into the window size.

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.