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arduinoFFT
kopia lustrzana https://github.com/kosme/arduinoFFT
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Merge pull request #81 from BjornTheProgrammer/master 

Update Examples and Documentation to Reflect Real Status
v1.6.2
Enrique Condes 2023-03-20 16:53:25 -06:00 zatwierdzone przez GitHub
rodzic 94453e54ac f9d6fa7dae
commit 78ec583c60
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6 zmienionych plików z 44 dodań i 35 usunięć
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12
Examples/FFT_01/FFT_01.ino
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@ -30,7 +30,7 @@
#include "arduinoFFT.h"
arduinoFFT FFT = arduinoFFT(); /* Create FFT object */
arduinoFFT FFT;
/*
These values can be changed in order to evaluate the functions
*/
@ -67,21 +67,23 @@ void loop()
//vReal[i] = uint8_t((amplitude * (sin((i * (twoPi * cycles)) / samples) + 1.0)) / 2.0);/* Build data displaced on the Y axis to include only positive values*/
vImag[i] = 0.0; //Imaginary part must be zeroed in case of looping to avoid wrong calculations and overflows
}
FFT = arduinoFFT(vReal, vImag, samples, samplingFrequency); /* Create FFT object */
/* Print the results of the simulated sampling according to time */
Serial.println("Data:");
PrintVector(vReal, samples, SCL_TIME);
FFT.Windowing(vReal, samples, FFT_WIN_TYP_HAMMING, FFT_FORWARD); /* Weigh data */
FFT.Windowing(FFT_WIN_TYP_HAMMING, FFT_FORWARD); /* Weigh data */
Serial.println("Weighed data:");
PrintVector(vReal, samples, SCL_TIME);
FFT.Compute(vReal, vImag, samples, FFT_FORWARD); /* Compute FFT */
FFT.Compute(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 */
FFT.ComplexToMagnitude(); /* Compute magnitudes */
Serial.println("Computed magnitudes:");
PrintVector(vReal, (samples >> 1), SCL_FREQUENCY);
double x = FFT.MajorPeak(vReal, samples, samplingFrequency);
double x = FFT.MajorPeak();
Serial.println(x, 6);
while(1); /* Run Once */
// delay(2000); /* Repeat after delay */

13
Examples/FFT_02/FFT_02.ino
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@ -23,7 +23,7 @@
#include "arduinoFFT.h"
arduinoFFT FFT = arduinoFFT(); /* Create FFT object */
arduinoFFT FFT;
/*
These values can be changed in order to evaluate the functions
*/
@ -31,7 +31,6 @@ 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;
@ -55,7 +54,6 @@ void setup()
Serial.begin(115200);
while(!Serial);
Serial.println("Ready");
exponent = FFT.Exponent(samples);
}
void loop()
@ -74,18 +72,19 @@ void loop()
/*Serial.println("Data:");
PrintVector(vReal, samples, SCL_TIME);*/
time=millis();
FFT.Windowing(vReal, samples, FFT_WIN_TYP_HAMMING, FFT_FORWARD); /* Weigh data */
FFT = arduinoFFT(vReal, vImag, samples, sampling); /* Create FFT object */
FFT.Windowing(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 */
FFT.Compute(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 */
FFT.ComplexToMagnitude(); /* Compute magnitudes */
/*Serial.println("Computed magnitudes:");
PrintVector(vReal, (samples >> 1), SCL_FREQUENCY);*/
double x = FFT.MajorPeak(vReal, samples, sampling);
double x = FFT.MajorPeak();
Serial.print(frequency);
Serial.print(": \t\t");
Serial.print(x, 4);

11
Examples/FFT_03/FFT_03.ino
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@ -20,7 +20,7 @@
#include "arduinoFFT.h"
arduinoFFT FFT = arduinoFFT(); /* Create FFT object */
arduinoFFT FFT;
/*
These values can be changed in order to evaluate the functions
*/
@ -64,21 +64,22 @@ void loop()
}
microseconds += sampling_period_us;
}
FFT = arduinoFFT(vReal, vImag, samples, samplingFrequency); /* Create FFT object */
/* Print the results of the sampling according to time */
Serial.println("Data:");
PrintVector(vReal, samples, SCL_TIME);
FFT.Windowing(vReal, samples, FFT_WIN_TYP_HAMMING, FFT_FORWARD); /* Weigh data */
FFT.Windowing(FFT_WIN_TYP_HAMMING, FFT_FORWARD); /* Weigh data */
Serial.println("Weighed data:");
PrintVector(vReal, samples, SCL_TIME);
FFT.Compute(vReal, vImag, samples, FFT_FORWARD); /* Compute FFT */
FFT.Compute(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 */
FFT.ComplexToMagnitude(); /* Compute magnitudes */
Serial.println("Computed magnitudes:");
PrintVector(vReal, (samples >> 1), SCL_FREQUENCY);
double x = FFT.MajorPeak(vReal, samples, samplingFrequency);
double x = FFT.MajorPeak();
Serial.println(x, 6); //Print out what frequency is the most dominant.
while(1); /* Run Once */
// delay(2000); /* Repeat after delay */

11
Examples/FFT_04/FFT_04.ino
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@ -31,7 +31,7 @@
#include "arduinoFFT.h"
arduinoFFT FFT = arduinoFFT(); /* Create FFT object */
arduinoFFT FFT;
/*
These values can be changed in order to evaluate the functions
*/
@ -68,11 +68,12 @@ void loop()
//vReal[i] = uint8_t((amplitude * (sin((i * (twoPi * cycles)) / samples) + 1.0)) / 2.0);/* Build data displaced on the Y axis to include only positive values*/
vImag[i] = 0.0; //Imaginary part must be zeroed in case of looping to avoid wrong calculations and overflows
}
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 = arduinoFFT(vReal, vImag, samples, samplingFrequency); /* Create FFT object */
FFT.Windowing(FFT_WIN_TYP_HAMMING, FFT_FORWARD); /* Weigh data */
FFT.Compute(FFT_FORWARD); /* Compute FFT */
FFT.ComplexToMagnitude(); /* Compute magnitudes */
PrintVector(vReal, samples>>1, SCL_PLOT);
double x = FFT.MajorPeak(vReal, samples, samplingFrequency);
double x = FFT.MajorPeak();
while(1); /* Run Once */
// delay(2000); /* Repeat after delay */
}

11
Examples/FFT_05/FFT_05.ino
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@ -31,7 +31,7 @@
#include "arduinoFFT.h"
arduinoFFT FFT = arduinoFFT(); /* Create FFT object */
arduinoFFT FFT;
/*
These values can be changed in order to evaluate the functions
*/
@ -68,23 +68,24 @@ void loop()
//vReal[i] = uint8_t((amplitude * (sin((i * (twoPi * cycles)) / samples) + 1.0)) / 2.0);/* Build data displaced on the Y axis to include only positive values*/
vImag[i] = 0.0; //Imaginary part must be zeroed in case of looping to avoid wrong calculations and overflows
}
FFT = arduinoFFT(vReal, vImag, samples, samplingFrequency); /* Create FFT object */
/* Print the results of the simulated sampling according to time */
Serial.println("Data:");
PrintVector(vReal, samples, SCL_TIME);
FFT.Windowing(vReal, samples, FFT_WIN_TYP_HAMMING, FFT_FORWARD); /* Weigh data */
FFT.Windowing(FFT_WIN_TYP_HAMMING, FFT_FORWARD); /* Weigh data */
Serial.println("Weighed data:");
PrintVector(vReal, samples, SCL_TIME);
FFT.Compute(vReal, vImag, samples, FFT_FORWARD); /* Compute FFT */
FFT.Compute(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 */
FFT.ComplexToMagnitude(); /* Compute magnitudes */
Serial.println("Computed magnitudes:");
PrintVector(vReal, (samples >> 1), SCL_FREQUENCY);
double x;
double v;
FFT.MajorPeak(vReal, samples, samplingFrequency, &x, &v);
FFT.MajorPeak(&x, &v);
Serial.print(x, 6);
Serial.print(", ");
Serial.println(v, 6);

21
README.md
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@ -19,12 +19,14 @@ To install this library, just place this entire folder as a subfolder in your Ar
When installed, this library should look like:
```
Arduino\libraries\arduinoFTT (this library's folder)
Arduino\libraries\arduinoFTT\arduinoFTT.cpp (the library implementation file, uses 32 bits floats vectors)
Arduino\libraries\arduinoFTT\arduinoFTT.h (the library header file, uses 32 bits floats vectors)
Arduino\libraries\arduinoFTT\keywords.txt (the syntax coloring file)
Arduino\libraries\arduinoFTT\examples (the examples in the "open" menu)
Arduino\libraries\arduinoFTT\readme.md (this file)
```
### Building on Arduino
@ -44,28 +46,31 @@ select arduinoFTT. This will add a corresponding line to the top of your sketch
<del>* Spectrum table? </del>
### API
The exclamation mark `!` denotes that this method is deprecated and may be removed on future revisions.
* **arduinoFFT**(void);
* **!arduinoFFT**(void);
* **arduinoFFT**(double *vReal, double *vImag, uint16_t samples, double samplingFrequency);
Constructor
* **~arduinoFFT**(void);
Destructor
* **ComplexToMagnitude**(double *vReal, double *vImag, uint16_t samples);
* **!ComplexToMagnitude**(double *vReal, double *vImag, uint16_t samples);
* **ComplexToMagnitude**();
* **Compute**(double *vReal, double *vImag, uint16_t samples, uint8_t dir);
* **Compute**(double *vReal, double *vImag, uint16_t samples, uint8_t power, uint8_t dir);
* **!Compute**(double *vReal, double *vImag, uint16_t samples, uint8_t dir);
* **!Compute**(double *vReal, double *vImag, uint16_t samples, uint8_t power, uint8_t dir);
* **Compute**(uint8_t dir);
Calcuates the Fast Fourier Transform.
* **DCRemoval**(double *vData, uint16_t samples);
* **!DCRemoval**(double *vData, uint16_t samples);
* **DCRemoval**();
Removes the DC component from the sample data.
* **MajorPeak**(double *vD, uint16_t samples, double samplingFrequency);
* **!MajorPeak**(double *vD, uint16_t samples, double samplingFrequency);
* **!MajorPeak**(double *vD, uint16_t samples, double samplingFrequency, double *f, double *v);
* **MajorPeak**();
* **MajorPeak**(double *f, double *v);
* **MajorPeakParabola**();
Looks for and returns the frequency of the biggest spike in the analyzed signal.
* **Revision**(void);
Returns the library revision.
* **Windowing**(double *vData, uint16_t samples, uint8_t windowType, uint8_t dir);
* **!Windowing**(double *vData, uint16_t samples, uint8_t windowType, uint8_t dir);
* **Windowing**(uint8_t windowType, uint8_t dir);
Performs a windowing function on the values array. The possible windowing options are:
* FFT_WIN_TYP_RECTANGLE
@ -78,5 +83,5 @@ Performs a windowing function on the values array. The possible windowing option
* FFT_WIN_TYP_BLACKMAN_HARRIS
* FFT_WIN_TYP_FLT_TOP
* FFT_WIN_TYP_WELCH
* **Exponent**(uint16_t value);
* **!Exponent**(uint16_t value);
Calculates and returns the base 2 logarithm of the given value.