diff --git a/Examples/FFT_01/FFT_01.ino b/Examples/FFT_01/FFT_01.ino
index dfaa65c..ae6fe33 100644
--- a/Examples/FFT_01/FFT_01.ino
+++ b/Examples/FFT_01/FFT_01.ino
@@ -39,6 +39,8 @@ double vImag[samples];
 #define SCL_TIME 0x01
 #define SCL_FREQUENCY 0x02
 
+#define Theta 6.2831 //2*Pi
+
 void setup()
 {
   Serial.begin(115200);
@@ -51,7 +53,7 @@ void loop()
   double cycles = (((samples-1) * signalFrequency) / samplingFrequency); //Number of signal cycles that the sampling will read
   for (uint8_t i = 0; i < samples; i++) 
   {
-    vReal[i] = uint8_t((amplitude * (sin((i * (6.2831 * cycles)) / samples))) / 2.0);/* Build data with positive and negative values*/
+    vReal[i] = uint8_t((amplitude * (sin((i * (Theta * cycles)) / samples))) / 2.0);/* Build data with positive and negative values*/
     //vReal[i] = uint8_t((amplitude * (sin((i * (6.2831 * cycles)) / samples) + 1.0)) / 2.0);/* Build data displaced on the Y axis to include only positive values*/
   }
   Serial.println("Data:");
@@ -65,6 +67,7 @@ void loop()
   Serial.println("Computed Imaginary values:");
   PrintVector(vImag, samples, SCL_INDEX);
   FFT.ComplexToMagnitude(vReal, vImag, samples); /* Compute magnitudes */
+  Serial.println("Computed magnitudes:");
   PrintVector(vReal, (samples >> 1), SCL_FREQUENCY);	
   double x = FFT.MajorPeak(vReal, samples, samplingFrequency);
   Serial.println(x, 6);
diff --git a/Examples/FFT_02/FFT_02.ino b/Examples/FFT_02/FFT_02.ino
new file mode 100644
index 0000000..3f2b00e
--- /dev/null
+++ b/Examples/FFT_02/FFT_02.ino
@@ -0,0 +1,124 @@
+/*
+
+	Example of use of the FFT libray to compute FFT for several signals over a range of frequencies.
+        The exponent is calculated once before the excecution since it is a constant.
+        This saves resources during the excecution of the sketch and reduces the compiled size.
+        The sketch shows the time that the computing is taking.
+        Copyright (C) 2014 Enrique Condes
+
+	This program is free software: you can redistribute it and/or modify
+	it under the terms of the GNU General Public License as published by
+	the Free Software Foundation, either version 3 of the License, or
+	(at your option) any later version.
+
+	This program is distributed in the hope that it will be useful,
+	but WITHOUT ANY WARRANTY; without even the implied warranty of
+	MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+	GNU General Public License for more details.
+
+	You should have received a copy of the GNU General Public License
+	along with this program.  If not, see <http://www.gnu.org/licenses/>.
+	
+*/
+
+#include "arduinoFFT.h"
+
+arduinoFFT FFT = arduinoFFT(); /* Create FFT object */
+/* 
+These values can be changed in order to evaluate the functions 
+*/
+
+const uint16_t samples = 64;
+const double sampling = 40;
+const uint8_t amplitude = 4;
+uint8_t exponent;
+const double startFrequency = 2;
+const double stopFrequency = 16.4;
+const double step_size = 0.1;
+
+/* 
+These are the input and output vectors 
+Input vectors receive computed results from FFT
+*/
+double vReal[samples]; 
+double vImag[samples];
+
+unsigned long time;
+
+#define SCL_INDEX 0x00
+#define SCL_TIME 0x01
+#define SCL_FREQUENCY 0x02
+
+#define Theta 6.2831 //2*Pi
+
+void setup()
+{
+  Serial.begin(115200);
+  Serial.println("Ready");
+  exponent = FFT.Exponent(samples);
+}
+
+void loop() 
+{
+  Serial.println("Frequency\tDetected\ttakes (ms)");
+  Serial.println("=======================================\n");
+  for(double frequency = startFrequency; frequency<=stopFrequency; frequency+=step_size) 
+  {
+    /* Build raw data */
+    double cycles = (((samples-1) * frequency) / sampling);
+    for (uint8_t i = 0; i < samples; i++) 
+    {
+      vReal[i] = uint8_t((amplitude * (sin((i * (Theta * cycles)) / samples))) / 2.0);
+      vImag[i] = 0; //Reset the imaginary values vector for each new frequency
+    }
+    /*Serial.println("Data:");
+    PrintVector(vReal, samples, SCL_TIME);*/
+    time=millis();
+    FFT.Windowing(vReal, samples, FFT_WIN_TYP_HAMMING, FFT_FORWARD);	/* Weigh data */
+    /*Serial.println("Weighed data:");
+    PrintVector(vReal, samples, SCL_TIME);*/
+    FFT.Compute(vReal, vImag, samples, exponent, FFT_FORWARD); /* Compute FFT */
+    /*Serial.println("Computed Real values:");
+    PrintVector(vReal, samples, SCL_INDEX);
+    Serial.println("Computed Imaginary values:");
+    PrintVector(vImag, samples, SCL_INDEX);*/
+    FFT.ComplexToMagnitude(vReal, vImag, samples); /* Compute magnitudes */
+    /*Serial.println("Computed magnitudes:");
+    PrintVector(vReal, (samples >> 1), SCL_FREQUENCY);	*/
+    double x = FFT.MajorPeak(vReal, samples, sampling);
+    Serial.print(frequency);
+    Serial.print(": \t\t");
+    Serial.print(x, 4);
+    Serial.print("\t\t");
+    Serial.print(millis()-time);
+    Serial.println(" ms");
+    // delay(2000); /* Repeat after delay */
+  }
+  while(1); /* Run Once */
+}
+
+void PrintVector(double *vData, uint8_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();
+}