# CPP-NLMS-Testreihe
#### Paramter: 
				- Input: 500.000 Pixel (-n 500000)
				- WindowSize: 5 (Standart Value)
				- Lernrate von 0.1 bis 1.0 (increased by 0.1)
				- -i cathedral.ppm 
				- random seed generator : 3 (-s 3)


## 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

## 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

## 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