arduinofft: Move to submodule, define srqt_internal externally

1 files changed, 0 insertions, 119 deletions

diff --git a/src/libs/arduinoFFT-develop/Examples/FFT_01/FFT_01.ino b/src/libs/arduinoFFT-develop/Examples/FFT_01/FFT_01.ino
deleted file mode 100644
index 22b5024a..00000000
--- a/src/libs/arduinoFFT-develop/Examples/FFT_01/FFT_01.ino
+++ /dev/null
@@ -1,119 +0,0 @@
-/*
-
-	Example of use of the FFT libray
-  
-  Copyright (C) 2014 Enrique Condes
-  Copyright (C) 2020 Bim Overbohm (header-only, template, speed improvements)
-
-	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/>.
-
-*/
-
-/*
-  In this example, the Arduino simulates the sampling of a sinusoidal 1000 Hz
-  signal with an amplitude of 100, sampled at 5000 Hz. Samples are stored
-  inside the vReal array. The samples are windowed according to Hamming
-  function. The FFT is computed using the windowed samples. Then the magnitudes
-  of each of the frequencies that compose the signal are calculated. Finally,
-  the frequency with the highest peak is obtained, being that the main frequency
-  present in the signal.
-*/
-
-#include "arduinoFFT.h"
-
-/*
-These values can be changed in order to evaluate the functions
-*/
-const uint16_t samples = 64; //This value MUST ALWAYS be a power of 2
-const double signalFrequency = 1000;
-const double samplingFrequency = 5000;
-const uint8_t amplitude = 100;
-
-/*
-These are the input and output vectors
-Input vectors receive computed results from FFT
-*/
-double vReal[samples];
-double vImag[samples];
-
-/* Create FFT object */
-ArduinoFFT<double> FFT = ArduinoFFT<double>(vReal, vImag, samples, samplingFrequency);
-
-#define SCL_INDEX 0x00
-#define SCL_TIME 0x01
-#define SCL_FREQUENCY 0x02
-#define SCL_PLOT 0x03
-
-void setup()
-{
-  Serial.begin(115200);
-  Serial.println("Ready");
-}
-
-void loop()
-{
-  /* Build raw data */
-  double cycles = (((samples-1) * signalFrequency) / samplingFrequency); //Number of signal cycles that the sampling will read
-  for (uint16_t i = 0; i < samples; i++)
-  {
-    vReal[i] = int8_t((amplitude * (sin((i * (TWO_PI * cycles)) / samples))) / 2.0);/* Build data with positive and negative values*/
-    //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
-  }
-  /* Print the results of the simulated sampling according to time */
-  Serial.println("Data:");
-  PrintVector(vReal, samples, SCL_TIME);
-  FFT.windowing(FFTWindow::Hamming, FFTDirection::Forward);	/* Weigh data */
-  Serial.println("Weighed data:");
-  PrintVector(vReal, samples, SCL_TIME);
-  FFT.compute(FFTDirection::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(); /* Compute magnitudes */
-  Serial.println("Computed magnitudes:");
-  PrintVector(vReal, (samples >> 1), SCL_FREQUENCY);
-  double x = FFT.majorPeak();
-  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.print(" ");
-    Serial.println(vData[i], 4);
-  }
-  Serial.println();
-}