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Examples using the new printing functions

pull/21/head
Enrique Condes 2018-02-01 21:04:41 +08:00
rodzic 934ff09b95
commit c239231546
3 zmienionych plików z 16 dodań i 102 usunięć
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40
Examples/FFT_01/FFT_01.ino
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@ -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();
}

40
Examples/FFT_02/FFT_02.ino
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@ -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();
}

38
Examples/FFT_03/FFT_03.ino
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@ -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 */
}