diff --git a/doc/Messprotokoll.md b/doc/Messprotokoll.md
index c09fbb5..7824e92 100644
--- a/doc/Messprotokoll.md
+++ b/doc/Messprotokoll.md
@@ -1,7 +1,8 @@
 # 1. CPP-NLMS-Testreihe
+## 1.1 Veränderung der Lernrate
 #### Paramter: 
 				- Input: 500.000 Pixel (-n 500000)
-				- WindowSize: 5 (Standard Value)
+				- WindowSize: 5 (Standart Value)
 				- Lernrate von 0.1 bis 1.0 (increased by 0.1)
 				- -i cathedral.ppm 
 				- random seed generator : 3 (-s 3)
@@ -9,51 +10,92 @@
 
 ### 1. Local Mean
 
-Lernrate	|	meanerror	|	devitation
----	|	---	|	---
-0.1	|	0.017622|	264.808714
-0.2	|	0.035715|	563.756509
-0.3	|	0.054145|	1058.390726
-0.4	|	0.072960|	1749.137624
-0.5	|	0.092207|	2636.592222
-0.6	|	0.111931|	3721.514220
-0.7	|	0.132180|	5004.829359
-0.8	|	0.153002|	6487.641093
-0.9	|	0.174440|	8171.260237
-1.0	|	0.196529|	10057.264574
+Lernrate	|	meanerror	|	variance 
+---	|	---	|	---	
+0.1	|	0.020861|	373.760784
+0.2	|	-0.015231|	1261.386282
+0.3	|	-0.054507|	2574.244199
+0.4	|	-0.088173|	4229.104809
+0.5	|	-0.116079 |	6169.762185
+0.6	|	-0.139313 |	8360.777760
+0.7	|	-0.158889 |	10783.351638
+0.8	|	-0.175600 |	13432.957565
+0.9	|	-0.190101 |	16318.529330
+1.0	|	-0.202958 |	19463.062580
 
 ### 2. direct Predecessor
 
 Lernrate	|	meanerror	|	devitation
 ---	|	---	|	---
-0.1	|	0.034605|	1165.639836
-0.2	|	0.061290|	5143.795751
-0.3	|	0.081941|	14101.954880
-0.4	|	0.098059|	33151.61923
-0.5	|	0.111109|	73575.962146
-0.6	|	0.123070|	159449.145873
-0.7	|	0.138492|	347221.927325
-0.8	|	519.742508|	8159987385389.823242
-0.9	|	-7547134082896249132941312.000000|	3877153348329978955993364733716443880442465820831329026048.000000
-1.0	|	3761239144093188417284117395383469067145028584884793393044299775046771047758036992.000000|	2074572983654522674987602010560539857768301297996124872466118751856211301657828168212459204392861396853691477732320683100737172969672730282637731961860360049654132492992512.000000
+0.1	|	0.024560	|	608.448633
+0.2	|	-0.030306	|	2007.513911
+0.3	|	-0.084634	|	3959.201147
+0.4	|	-0.126798	|	6328.009325
+0.5	|	-0.157719	|	9057.241991
+0.6	|	-0.179736	|	12137.852301
+0.7	|	-0.194805	|	15592.808948
+0.8	|	-0.204488	|	19471.279015
+0.9	|	-0.210085	|	23849.267714
+1.0	|	-0.212681	|	28835.466521
 
 ### 3. differential Predecessor
 
 Lernrate	|	meanerror	|	devitation
 ---	|	---	|	---
-0.1	|	0.002158|	35.172878
-0.2	|	0.003306|	33.315664
-0.3	|	0.003656|	32.549577
-0.4	|	0.003311|	33.097449
-0.5	|	0.002340|	35.717416
-0.6	|	0.000869|	43.040214
-0.7	|	-0.000213|	71.249809
-0.8	|	0.013732|	1363.663734
-0.9	|	-0.071016|	4623896.100036	
-1.0	|	-211924.365595|	556770831730198528.000000
+0.1	|	0.046246 |	237.604268
+0.2	|	0.058362 |	838.182243
+0.3	|	0.060553 |	1834.829054
+0.4	|	0.060390 |	3227.671286
+0.5	|	0.060858 |	5016.829374
+0.6	|	0.063120 |	7202.687465
+0.7	|	0.067694 |	9785.843689
+0.8	|	0.074840 |	12767.049840
+0.9	|	0.084710 |	16147.248088
+1.0	|	0.097443 |	19927.694764
+
+
+### 4. NLMS
+
+Lernrate	|	meanerror	|	devitation
+---	|	---	|	---
+0.1	|	-0.865235	|	51.897994
+0.2	|	-0.916315 |	67.761425
+0.3	|	-0.950006 |	82.291526
+0.4	|	-0.975096 |	96.554001
+0.5	|	-0.995089 |	111.236008
+0.6	|	-1.011618 |	126.820482
+0.7	|	-1.025538 |	143.713619
+0.8	|	-1.037385 |	162.334219
+0.9	|	-1.047550 |	183.192878
+1.0	|	-1.056358 |	206.993456
+
+## 1.2 Veränderung der WindowSize
+#### Paramter: 
+				- Input: 500.000 Pixel (-n 500000)
+				- WindowSize: -w {1,3,5, 8, 10, 15, 20, 25, 50, 100}
+				- Lernrate: -l 0.6
+				- -i cathedral.ppm 
+				- random seed generator : 3 (-s 3)
+
+>Tabelle beinhaltet jeweils den 'mean error' der jeweiligen Variante
+
+
+|  Windowsize | local Mean  | direct Predecessor  |  differential Predecessor | NLMS  |
+|---|---|---|---|---|
+|  1 | 0.330125  |  0.330131 | 0.330131  |  -1.063652 |
+|  3 |  0.444605 |  0.412069 |  0.413190 | -1.089547  |
+|  5 | -0.139313  | -0.179736  | 0.063120  |  -1.011618 |
+|  8 | 0.181180  | 0.042986  | 0.221078  | -0.873373  |
+|  10 | 0.279242  | 0.188497  | 0.291145  |  -0.811906 |
+|  15 | 0.215564  | 0.222018  | 0.265400  | -0.696719  |
+|  20 | 0.273161 |  0.383155 | 0.194116  | -0.615447  |
+|  25 |  0.213731 | 0.276315  | 0.185892  | -0.576340  |
+|  50 |  0.467920 | 0.463972  |  0.188099 | -0.479407  |
+|  100 | -0.331102  | -0.412149  |  -0.018204 | -0.506369  |
 
 ___
 
+
 # 2. CS-NLMS-Testreihe
 #### Parameter:
 				-N:4000 Pixel