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arduinoFFT
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Remove new printing methods on examples

pull/21/head
Enrique Condes 2018-02-11 03:21:10 +08:00
rodzic e1831a9bdd
commit 0b3271b489
4 zmienionych plików z 142 dodań i 16 usunięć
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41
Examples/FFT_01/FFT_01.ino
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@ -45,6 +45,11 @@ 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
#define SCL_PLOT 0x03
void setup()
{
Serial.begin(115200);
@ -63,20 +68,46 @@ void loop()
}
/* Print the results of the simulated sampling according to time */
Serial.println("Data:");
FFT.PrintSignal(vReal, samples, samplingFrequency);
PrintVector(vReal, samples, SCL_TIME);
FFT.Windowing(vReal, samples, FFT_WIN_TYP_HAMMING, FFT_FORWARD); /* Weigh data */
Serial.println("Weighed data:");
FFT.PrintSignal(vReal, samples, samplingFrequency);
PrintVector(vReal, samples, SCL_TIME);
FFT.Compute(vReal, vImag, samples, FFT_FORWARD); /* Compute FFT */
Serial.println("Computed Real values:");
FFT.PrintVector(vReal, samples, samplingFrequency);
PrintVector(vReal, samples, SCL_INDEX);
Serial.println("Computed Imaginary values:");
FFT.PrintVector(vImag, samples, samplingFrequency);
PrintVector(vImag, samples, SCL_INDEX);
FFT.ComplexToMagnitude(vReal, vImag, samples); /* Compute magnitudes */
Serial.println("Computed magnitudes:");
FFT.PrintSpectrum(vReal, samples, samplingFrequency);
PrintVector(vReal, (samples >> 1), SCL_FREQUENCY);
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);
if(scaleType==SCL_FREQUENCY)
Serial.print(" Hz");
Serial.println(vData[i], 4);
}
Serial.println();
}

41
Examples/FFT_02/FFT_02.ino
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@ -45,6 +45,11 @@ double vImag[samples];
unsigned long time;
#define SCL_INDEX 0x00
#define SCL_TIME 0x01
#define SCL_FREQUENCY 0x02
#define SCL_PLOT 0x03
void setup()
{
Serial.begin(115200);
@ -66,19 +71,19 @@ void loop()
vImag[i] = 0; //Reset the imaginary values vector for each new frequency
}
/*Serial.println("Data:");
FFT.PrintSignal(vReal, samples, samplingFrequency);*/
PrintVector(vReal, samples, SCL_TIME);*/
time=millis();
FFT.Windowing(vReal, samples, FFT_WIN_TYP_HAMMING, FFT_FORWARD); /* Weigh data */
/*Serial.println("Weighed data:");
FFT.PrintSignal(vReal, samples, samplingFrequency);*/
PrintVector(vReal, samples, SCL_TIME);*/
FFT.Compute(vReal, vImag, samples, exponent, FFT_FORWARD); /* Compute FFT */
/*Serial.println("Computed Real values:");
FFT.PrintVector(vReal, samples, samplingFrequency);
PrintVector(vReal, samples, SCL_INDEX);
Serial.println("Computed Imaginary values:");
FFT.PrintVector(vImag, samples, samplingFrequency);*/
PrintVector(vImag, samples, SCL_INDEX);*/
FFT.ComplexToMagnitude(vReal, vImag, samples); /* Compute magnitudes */
/*Serial.println("Computed magnitudes:");
FFT.PrintSpectrum(vReal, samples, samplingFrequency);*/
PrintVector(vReal, (samples >> 1), SCL_FREQUENCY);*/
double x = FFT.MajorPeak(vReal, samples, sampling);
Serial.print(frequency);
Serial.print(": \t\t");
@ -90,3 +95,29 @@ 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) / samplingFrequency);
break;
case SCL_FREQUENCY:
abscissa = ((i * 1.0 * samplingFrequency) / samples);
break;
}
Serial.print(abscissa, 6);
if(scaleType==SCL_FREQUENCY)
Serial.print(" Hz");
Serial.println(vData[i], 4);
}
Serial.println();
}

41
Examples/FFT_03/FFT_03.ino
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@ -38,6 +38,11 @@ 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
#define SCL_PLOT 0x03
void setup()
{
sampling_period_us = round(1000000*(1.0/SAMPLING_FREQUENCY));
@ -60,20 +65,46 @@ void loop()
}
/* Print the results of the sampling according to time */
Serial.println("Data:");
FFT.PrintSignal(vReal, samples, samplingFrequency);
PrintVector(vReal, samples, SCL_TIME);
FFT.Windowing(vReal, samples, FFT_WIN_TYP_HAMMING, FFT_FORWARD); /* Weigh data */
Serial.println("Weighed data:");
FFT.PrintSignal(vReal, samples, samplingFrequency);
PrintVector(vReal, samples, SCL_TIME);
FFT.Compute(vReal, vImag, samples, FFT_FORWARD); /* Compute FFT */
Serial.println("Computed Real values:");
FFT.PrintVector(vReal, samples, samplingFrequency);
PrintVector(vReal, samples, SCL_INDEX);
Serial.println("Computed Imaginary values:");
FFT.PrintVector(vImag, samples, samplingFrequency);
PrintVector(vImag, samples, SCL_INDEX);
FFT.ComplexToMagnitude(vReal, vImag, samples); /* Compute magnitudes */
Serial.println("Computed magnitudes:");
FFT.PrintSpectrum(vReal, samples, samplingFrequency);
PrintVector(vReal, (samples >> 1), SCL_FREQUENCY);
double x = FFT.MajorPeak(vReal, samples, samplingFrequency);
Serial.println(x, 6); //Print out what frequency is the most dominant.
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);
if(scaleType==SCL_FREQUENCY)
Serial.print(" Hz");
Serial.println(vData[i], 4);
}
Serial.println();
}

35
Examples/FFT_04/FFT_04.ino
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@ -46,6 +46,11 @@ 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
#define SCL_PLOT 0x03
void setup()
{
Serial.begin(115200);
@ -64,8 +69,36 @@ void loop()
FFT.Windowing(vReal, samples, FFT_WIN_TYP_HAMMING, FFT_FORWARD); /* Weigh data */
FFT.Compute(vReal, vImag, samples, FFT_FORWARD); /* Compute FFT */
FFT.ComplexToMagnitude(vReal, vImag, samples); /* Compute magnitudes */
FFT.PlotSpectrum(vReal, samples, samplingFrequency);
PrintVector(vReal, samples>>1, SCL_PLOT);
double x = FFT.MajorPeak(vReal, samples, samplingFrequency);
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;
}
if(scaleType!=SCL_PLOT)
{
Serial.print(abscissa, 6);
Serial.print(" ");
}
Serial.println(vData[i], 4);
}
Serial.println();
}