diff --git a/src/ansi_c_implementation/NLMSvariants.c b/src/ansi_c_implementation/NLMSvariants.c
index 679574c..45935b3 100644
--- a/src/ansi_c_implementation/NLMSvariants.c
+++ b/src/ansi_c_implementation/NLMSvariants.c
@@ -20,19 +20,6 @@ Created by Stefan Friese on 26.04.2018
 typedef SSIZE_T ssize_t;
 #endif
 
-typedef struct {
-	double *weights;
-	unsigned windowSize;
-	unsigned samplesCount;
-	double learnrate;
-} mldata_t;
-
-enum fileHeader{
-	LOCAL_MEAN_HEADER,
-	DIRECT_PREDECESSOR_HEADER,
-	DIFFERENTIAL_PREDECESSOR_HEADER
-};
-
 double *xSamples;
 mldata_t *mlData = NULL;	// Machine learning
 point_t *points = NULL;		// Graphing			
diff --git a/src/ansi_c_implementation/nlms_types.h b/src/ansi_c_implementation/nlms_types.h
index 4380c3f..6e4feae 100644
--- a/src/ansi_c_implementation/nlms_types.h
+++ b/src/ansi_c_implementation/nlms_types.h
@@ -1,6 +1,14 @@
 
+/* * machine learning * */					
+typedef struct {					
+	double *weights;
+	unsigned windowSize;
+	unsigned samplesCount;
+	double learnrate;
+} mldata_t;
+
 /* *svg graph building* */
-typedef struct {
+typedef struct {						// Axis x,y
 	double xVal[7];
 	double yVal[7];
 }point_t;
@@ -10,12 +18,13 @@ typedef struct {
 	unsigned char red, green, blue;
 }colorChannel_t;
 
-typedef struct {
+typedef struct {						// Storage for image data 
 	int x, y;
 	colorChannel_t *data;
-}imagePixel_t;
+}imagePixel_t;						
 
-enum fileSuffix_t{ // used in conjunction with mkFileName()
+/** file handling* */
+enum fileSuffix_t{ 						// Used in conjunction with mkFileName()
     PURE_WEIGHTS,
     USED_WEIGHTS,
     DIRECT_PREDECESSOR,
@@ -25,4 +34,9 @@ enum fileSuffix_t{ // used in conjunction with mkFileName()
     DIFFERENTIAL_PREDECESSOR
 };
 
+enum fileHeader{						
+	LOCAL_MEAN_HEADER,
+	DIRECT_PREDECESSOR_HEADER,
+	DIFFERENTIAL_PREDECESSOR_HEADER
+};
 
diff --git a/src/cpp_implementation/NLMSvariants.cpp b/src/cpp_implementation/NLMSvariants.cpp
index 679574c..45935b3 100644
--- a/src/cpp_implementation/NLMSvariants.cpp
+++ b/src/cpp_implementation/NLMSvariants.cpp
@@ -20,19 +20,6 @@ Created by Stefan Friese on 26.04.2018
 typedef SSIZE_T ssize_t;
 #endif
 
-typedef struct {
-	double *weights;
-	unsigned windowSize;
-	unsigned samplesCount;
-	double learnrate;
-} mldata_t;
-
-enum fileHeader{
-	LOCAL_MEAN_HEADER,
-	DIRECT_PREDECESSOR_HEADER,
-	DIFFERENTIAL_PREDECESSOR_HEADER
-};
-
 double *xSamples;
 mldata_t *mlData = NULL;	// Machine learning
 point_t *points = NULL;		// Graphing			
diff --git a/src/cpp_implementation/nlms_types.h b/src/cpp_implementation/nlms_types.h
index 4380c3f..6e4feae 100644
--- a/src/cpp_implementation/nlms_types.h
+++ b/src/cpp_implementation/nlms_types.h
@@ -1,6 +1,14 @@
 
+/* * machine learning * */					
+typedef struct {					
+	double *weights;
+	unsigned windowSize;
+	unsigned samplesCount;
+	double learnrate;
+} mldata_t;
+
 /* *svg graph building* */
-typedef struct {
+typedef struct {						// Axis x,y
 	double xVal[7];
 	double yVal[7];
 }point_t;
@@ -10,12 +18,13 @@ typedef struct {
 	unsigned char red, green, blue;
 }colorChannel_t;
 
-typedef struct {
+typedef struct {						// Storage for image data 
 	int x, y;
 	colorChannel_t *data;
-}imagePixel_t;
+}imagePixel_t;						
 
-enum fileSuffix_t{ // used in conjunction with mkFileName()
+/** file handling* */
+enum fileSuffix_t{ 						// Used in conjunction with mkFileName()
     PURE_WEIGHTS,
     USED_WEIGHTS,
     DIRECT_PREDECESSOR,
@@ -25,4 +34,9 @@ enum fileSuffix_t{ // used in conjunction with mkFileName()
     DIFFERENTIAL_PREDECESSOR
 };
 
+enum fileHeader{						
+	LOCAL_MEAN_HEADER,
+	DIRECT_PREDECESSOR_HEADER,
+	DIFFERENTIAL_PREDECESSOR_HEADER
+};