diff --git a/Examples/FFT_01/FFT_01.ino b/Examples/FFT_01/FFT_01.ino
index 154bcdd..06f5d1b 100644
--- a/Examples/FFT_01/FFT_01.ino
+++ b/Examples/FFT_01/FFT_01.ino
@@ -45,10 +45,6 @@ Input vectors receive computed results from FFT
 double vReal[samples];
 double vImag[samples];
 
-#define SCL_INDEX 0x00
-#define SCL_TIME 0x01
-#define SCL_FREQUENCY 0x02
-
 void setup()
 {
   Serial.begin(115200);
@@ -67,46 +63,20 @@ void loop()
   }
   /* Print the results of the simulated sampling according to time */
   Serial.println("Data:");
-  PrintVector(vReal, samples, SCL_TIME);
+  FFT.PrintSignal(vReal, samples, samplingFrequency);
   FFT.Windowing(vReal, samples, FFT_WIN_TYP_HAMMING, FFT_FORWARD);	/* Weigh data */
   Serial.println("Weighed data:");
-  PrintVector(vReal, samples, SCL_TIME);
+  FFT.PrintSignal(vReal, samples, samplingFrequency);
   FFT.Compute(vReal, vImag, samples, FFT_FORWARD); /* Compute FFT */
   Serial.println("Computed Real values:");
-  PrintVector(vReal, samples, SCL_INDEX);
+  FFT.PrintVector(vReal, samples, samplingFrequency);
   Serial.println("Computed Imaginary values:");
-  PrintVector(vImag, samples, SCL_INDEX);
+  FFT.PrintVector(vImag, samples, samplingFrequency);
   FFT.ComplexToMagnitude(vReal, vImag, samples); /* Compute magnitudes */
   Serial.println("Computed magnitudes:");
-  PrintVector(vReal, (samples >> 1), SCL_FREQUENCY);
+  FFT.PrintSpectrum(vReal, samples, samplingFrequency);
   double x = FFT.MajorPeak(vReal, samples, samplingFrequency);
   Serial.println(x, 6);
   while(1); /* Run Once */
   // delay(2000); /* Repeat after delay */
 }
-
-void PrintVector(double *vData, uint16_t bufferSize, uint8_t scaleType)
-{
-  for (uint16_t i = 0; i < bufferSize; i++)
-  {
-    double abscissa;
-    /* Print abscissa value */
-    switch (scaleType)
-    {
-      case SCL_INDEX:
-        abscissa = (i * 1.0);
-	break;
-      case SCL_TIME:
-        abscissa = ((i * 1.0) / samplingFrequency);
-	break;
-      case SCL_FREQUENCY:
-        abscissa = ((i * 1.0 * samplingFrequency) / samples);
-	break;
-    }
-    Serial.print(abscissa, 6);
-    Serial.print(" ");
-    Serial.print(vData[i], 4);
-    Serial.println();
-  }
-  Serial.println();
-}
diff --git a/Examples/FFT_02/FFT_02.ino b/Examples/FFT_02/FFT_02.ino
index b6d3011..cf87440 100644
--- a/Examples/FFT_02/FFT_02.ino
+++ b/Examples/FFT_02/FFT_02.ino
@@ -45,10 +45,6 @@ double vImag[samples];
 
 unsigned long time;
 
-#define SCL_INDEX 0x00
-#define SCL_TIME 0x01
-#define SCL_FREQUENCY 0x02
-
 void setup()
 {
   Serial.begin(115200);
@@ -70,19 +66,19 @@ void loop()
       vImag[i] = 0; //Reset the imaginary values vector for each new frequency
     }
     /*Serial.println("Data:");
-    PrintVector(vReal, samples, SCL_TIME);*/
+    FFT.PrintSignal(vReal, samples, samplingFrequency);*/
     time=millis();
     FFT.Windowing(vReal, samples, FFT_WIN_TYP_HAMMING, FFT_FORWARD);	/* Weigh data */
     /*Serial.println("Weighed data:");
-    PrintVector(vReal, samples, SCL_TIME);*/
+    FFT.PrintSignal(vReal, samples, samplingFrequency);*/
     FFT.Compute(vReal, vImag, samples, exponent, FFT_FORWARD); /* Compute FFT */
     /*Serial.println("Computed Real values:");
-    PrintVector(vReal, samples, SCL_INDEX);
+    FFT.PrintVector(vReal, samples, samplingFrequency);
     Serial.println("Computed Imaginary values:");
-    PrintVector(vImag, samples, SCL_INDEX);*/
+    FFT.PrintVector(vImag, samples, samplingFrequency);*/
     FFT.ComplexToMagnitude(vReal, vImag, samples); /* Compute magnitudes */
     /*Serial.println("Computed magnitudes:");
-    PrintVector(vReal, (samples >> 1), SCL_FREQUENCY);	*/
+    FFT.PrintSpectrum(vReal, samples, samplingFrequency);*/
     double x = FFT.MajorPeak(vReal, samples, sampling);
     Serial.print(frequency);
     Serial.print(": \t\t");
@@ -94,29 +90,3 @@ void loop()
   }
   while(1); /* Run Once */
 }
-
-void PrintVector(double *vData, uint16_t bufferSize, uint8_t scaleType)
-{
-  for (uint16_t i = 0; i < bufferSize; i++)
-  {
-    double abscissa;
-    /* Print abscissa value */
-    switch (scaleType)
-    {
-      case SCL_INDEX:
-        abscissa = (i * 1.0);
-        break;
-      case SCL_TIME:
-        abscissa = ((i * 1.0) / sampling);
-        break;
-      case SCL_FREQUENCY:
-        abscissa = ((i * 1.0 * sampling) / samples);
-        break;
-    }
-    Serial.print(abscissa, 6);
-    Serial.print(" ");
-    Serial.print(vData[i], 4);
-    Serial.println();
-  }
-  Serial.println();
-}
diff --git a/Examples/FFT_03/FFT_03.ino b/Examples/FFT_03/FFT_03.ino
index e52712d..2e26c9c 100644
--- a/Examples/FFT_03/FFT_03.ino
+++ b/Examples/FFT_03/FFT_03.ino
@@ -64,46 +64,20 @@ void loop()
   }
   /* Print the results of the sampling according to time */
   Serial.println("Data:");
-  PrintVector(vReal, samples, SCL_TIME);
+  FFT.PrintSignal(vReal, samples, samplingFrequency);
   FFT.Windowing(vReal, samples, FFT_WIN_TYP_HAMMING, FFT_FORWARD);	/* Weigh data */
   Serial.println("Weighed data:");
-  PrintVector(vReal, samples, SCL_TIME);
+  FFT.PrintSignal(vReal, samples, samplingFrequency);
   FFT.Compute(vReal, vImag, samples, FFT_FORWARD); /* Compute FFT */
   Serial.println("Computed Real values:");
-  PrintVector(vReal, samples, SCL_INDEX);
+  FFT.PrintVector(vReal, samples, samplingFrequency);
   Serial.println("Computed Imaginary values:");
-  PrintVector(vImag, samples, SCL_INDEX);
+  FFT.PrintVector(vImag, samples, samplingFrequency);
   FFT.ComplexToMagnitude(vReal, vImag, samples); /* Compute magnitudes */
   Serial.println("Computed magnitudes:");
-  PrintVector(vReal, (samples >> 1), SCL_FREQUENCY);
+  FFT.PrintSpectrum(vReal, samples, samplingFrequency);
   double x = FFT.MajorPeak(vReal, samples, samplingFrequency);
   Serial.println(x, 6);
   while(1); /* Run Once */
-
-}
-
-void PrintVector(double *vData, uint16_t bufferSize, uint8_t scaleType)
-{
-  for (uint16_t i = 0; i < bufferSize; i++)
-  {
-    double abscissa;
-    /* Print abscissa value */
-    switch (scaleType)
-    {
-      case SCL_INDEX:
-        abscissa = (i * 1.0);
-	break;
-      case SCL_TIME:
-        abscissa = ((i * 1.0) / samplingFrequency);
-	break;
-      case SCL_FREQUENCY:
-        abscissa = ((i * 1.0 * samplingFrequency) / samples);
-	break;
-    }
-    Serial.print(abscissa, 6);
-    Serial.print(" ");
-    Serial.print(vData[i], 4);
-    Serial.println();
-  }
-  Serial.println();
+  // delay(2000); /* Repeat after delay */
 }