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Update Messprotokoll.md 

CS-Messprotokoll ergänzt
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# CPP-NLMS-Testreihe # 1. CPP-NLMS-Testreihe
#### Paramter: #### Paramter:
- Input: 500.000 Pixel (-n 500000) - Input: 500.000 Pixel (-n 500000)
- WindowSize: 5 (Standart Value) - WindowSize: 5 (Standart Value)
@ -7,7 +7,7 @@
- random seed generator : 3 (-s 3) - random seed generator : 3 (-s 3)
## 1. Local Mean ### 1. Local Mean
Lernrate | meanerror | devitation Lernrate | meanerror | devitation
--- | --- | --- --- | --- | ---
@ -22,7 +22,7 @@ Lernrate | meanerror | devitation
0.9 | 0.174440| 8171.260237 0.9 | 0.174440| 8171.260237
1.0 | 0.196529| 10057.264574 1.0 | 0.196529| 10057.264574
## 2. direct Predecessor ### 2. direct Predecessor
Lernrate | meanerror | devitation Lernrate | meanerror | devitation
--- | --- | --- --- | --- | ---
@ -37,7 +37,7 @@ Lernrate | meanerror | devitation
0.9 | -7547134082896249132941312.000000| 3877153348329978955993364733716443880442465820831329026048.000000 0.9 | -7547134082896249132941312.000000| 3877153348329978955993364733716443880442465820831329026048.000000
1.0 | 3761239144093188417284117395383469067145028584884793393044299775046771047758036992.000000| 2074572983654522674987602010560539857768301297996124872466118751856211301657828168212459204392861396853691477732320683100737172969672730282637731961860360049654132492992512.000000 1.0 | 3761239144093188417284117395383469067145028584884793393044299775046771047758036992.000000| 2074572983654522674987602010560539857768301297996124872466118751856211301657828168212459204392861396853691477732320683100737172969672730282637731961860360049654132492992512.000000
## 3. differential Predecessor ### 3. differential Predecessor
Lernrate | meanerror | devitation Lernrate | meanerror | devitation
--- | --- | --- --- | --- | ---
@ -51,3 +51,61 @@ Lernrate | meanerror | devitation
0.8 | 0.013732| 1363.663734 0.8 | 0.013732| 1363.663734
0.9 | -0.071016| 4623896.100036 0.9 | -0.071016| 4623896.100036
1.0 | -211924.365595| 556770831730198528.000000 1.0 | -211924.365595| 556770831730198528.000000
___
# 2. CS-NLMS-Testreihe
#### Parameter:
-N:4000 Pixel
-M: 5
-Learnrate: 0.1 bis 1.0 (increased by 0.1)
-Image: boats.y.png
--> Gewichte sind random, daher nicht reproduzierbar!
### 1. local mean
Lernrate | Average error | Variance of the error
--- | --- | ---
0.1 | -0,0223811013862385| 5337,82462718957
0.2 | -0,0622259728578006| 7363,56898611733
0.3 | -0,0298976210637875| 9614,92806843726
0.4 | 0,0849844894447272| 12088,2433018213
0.5 | 0,299055989866592| 14819,6805234785
0.6 | 0,585283074155977| 17874,0914703503
0.7 | 0,979106442634296| 21337,9978781998
0.8 | 1,46391408202542| 25322,8680485397
0.9 | 2,05872807071837| 29964,9719994441
1,0 | 2,79656379441662| 35436,9340804565
### 2. direct predecessor
Lernrate | Average error | Variance of the error
--- | --- | ---
0.1 | 0,151005103097187| 5471,5876773699
0.2 | 0,606943328690361| 7729,18121268243
0.3 | 1,14390553779214| 10465,2060324616
0.4 | 1,76810718228813| 13695,8876087231
0.5 | 2,5193083296817| 17431,0433982945
0.6 | 3,38144695588288| 21696,5188824818
0.7 | 4,36367842697108| 26566,2513099756
0.8 | 5,51257464442153| 32193,8755290981
0.9 | 6,83374986915135| 38850,115776936
1.0 | 8,38129514988831| 46958,0983013679
### 3. differential predecessor
Lernrate | Average error | Variance of the error
--- | --- | ---
0.1 | -0,0160622191672049| 4750,33040669542
0.2 | 0,00640864710641419| 6041,46065665648
0.3 | 0,0432263456982662| 7412,09833871273
0.4 | 0,106075295986603| 8891,97578539296
0.5 | 0,174689052473554| 10532,273473301
0.6 | 0,241331954473674| 12394,8177286223
0.7 | 0,359973579958283| 14552,6708886431
0.8 | 0,494261683495002| 17102,3682973733
0.9 | 0,671346960651145 | 20166,0023256068
1.0 | 0,892045554010017| 23907,2852270274