kopia lustrzana https://github.com/kosme/arduinoFFT
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Enrique Condes | 0913ec2f87 | |
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arduinoFFT
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arduinoFFT [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.14195818.svg)](https://doi.org/10.5281/zenodo.14195818)
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==========
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# Fast Fourier Transform for Arduino
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@ -25,7 +25,7 @@
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"email": "bim.overbohm@googlemail.com"
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}
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],
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"version": "2.0.3",
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"version": "2.0.4",
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"frameworks": ["arduino","mbed","espidf"],
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"platforms": "*",
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"headers": "arduinoFFT.h"
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name=arduinoFFT
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version=2.0.3
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version=2.0.4
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author=Enrique Condes <enrique@shapeoko.com>
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maintainer=Enrique Condes <enrique@shapeoko.com>
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sentence=A library for implementing floating point Fast Fourier Transform calculations on the Arduino framework.
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paragraph=With this library you can calculate the dominant frequency of a sampled signal.
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paragraph=With this library you can calculate the frequencies present on a sampled signal.
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category=Data Processing
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url=https://github.com/kosme/arduinoFFT
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architectures=*
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@ -52,7 +52,7 @@ template <typename T>
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void ArduinoFFT<T>::complexToMagnitude(T *vReal, T *vImag,
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uint_fast16_t samples) const {
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// vM is half the size of vReal and vImag
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for (uint_fast16_t i = 0; i < samples; i++) {
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for (uint_fast16_t i = 0; i < (samples >> 1) + 1; i++) {
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vReal[i] = sqrt_internal(sq(vReal[i]) + sq(vImag[i]));
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}
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}
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@ -82,8 +82,12 @@ void ArduinoFFT<T>::compute(T *vReal, T *vImag, uint_fast16_t samples,
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for (uint_fast16_t i = 0; i < (samples - 1); i++) {
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if (i < j) {
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swap(&vReal[i], &vReal[j]);
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#ifdef COMPLEX_INPUT
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swap(&vImag[i], &vImag[j]);
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#else
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if (dir == FFTDirection::Reverse)
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swap(&vImag[i], &vImag[j]);
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#endif
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}
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uint_fast16_t k = (samples >> 1);
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@ -189,11 +193,12 @@ void ArduinoFFT<T>::majorPeak(T *vData, uint_fast16_t samples,
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T delta = 0.5 * ((vData[IndexOfMaxY - 1] - vData[IndexOfMaxY + 1]) /
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(vData[IndexOfMaxY - 1] - (2.0 * vData[IndexOfMaxY]) +
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vData[IndexOfMaxY + 1]));
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T interpolatedX = ((IndexOfMaxY + delta) * samplingFrequency) / (samples - 1);
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if (IndexOfMaxY == (samples >> 1)) // To improve calculation on edge values
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interpolatedX = ((IndexOfMaxY + delta) * samplingFrequency) / (samples);
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if (IndexOfMaxY == (samples >> 1)) { // To improve calculation on edge values
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*frequency = ((IndexOfMaxY + delta) * samplingFrequency) / (samples);
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} else {
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*frequency = ((IndexOfMaxY + delta) * samplingFrequency) / (samples - 1);
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}
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// returned value: interpolated frequency peak apex
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*frequency = interpolatedX;
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if (magnitude != nullptr) {
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#if defined(ESP8266) || defined(ESP32)
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*magnitude = fabs(vData[IndexOfMaxY - 1] - (2.0 * vData[IndexOfMaxY]) +
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@ -340,7 +345,7 @@ void ArduinoFFT<T>::windowing(T *vData, uint_fast16_t samples,
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weighingFactor = 0.54 - (0.46 * cos(twoPi * ratio));
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break;
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case FFTWindow::Hann: // hann
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weighingFactor = 0.54 * (1.0 - cos(twoPi * ratio));
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weighingFactor = 0.50 * (1.0 - cos(twoPi * ratio));
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break;
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case FFTWindow::Triangle: // triangle (Bartlett)
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#if defined(ESP8266) || defined(ESP32)
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@ -504,16 +509,16 @@ template <typename T> double ArduinoFFT<T>::sqrt_internal(double x) const {
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template <typename T>
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const T ArduinoFFT<T>::_WindowCompensationFactors[11] = {
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1.0000000000 * 2.0, // rectangle (Box car)
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1.8549343278 * 2.0, // hamming
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1.8554726898 * 2.0, // hann
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2.0039186079 * 2.0, // triangle (Bartlett)
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2.8163172034 * 2.0, // nuttall
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2.3673474360 * 2.0, // blackman
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2.7557840395 * 2.0, // blackman nuttall
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2.7929062517 * 2.0, // blackman harris
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3.5659039231 * 2.0, // flat top
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1.5029392863 * 2.0, // welch
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2.0, // 1.0000000000 * 2.0, // rectangle (Box car)
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3.7098686556, // 1.8549343278 * 2.0, // hamming
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3.7109453796, // 1.8554726898 * 2.0, // hann
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4.0078372158, // 2.0039186079 * 2.0, // triangle (Bartlett)
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5.6326344068, // 2.8163172034 * 2.0, // nuttall
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4.734694872, // 2.3673474360 * 2.0, // blackman
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5.511568079, // 2.7557840395 * 2.0, // blackman nuttall
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5.5858125034, // 2.7929062517 * 2.0, // blackman harris
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7.1318078462, // 3.5659039231 * 2.0, // flat top
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3.0058785726, // 1.5029392863 * 2.0, // welch
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// This is added as a precaution, since this index should never be
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// accessed under normal conditions
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1.0 // Custom, precompiled value.
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