diff --git a/.gitmodules b/.gitmodules index e6518b3d..7a4e307b 100644 --- a/.gitmodules +++ b/.gitmodules @@ -7,3 +7,6 @@ [submodule "src/libs/QCBOR"] path = src/libs/QCBOR url = https://github.com/laurencelundblade/QCBOR.git +[submodule "src/libs/arduinoFFT"] + path = src/libs/arduinoFFT + url = https://github.com/kosme/arduinoFFT.git diff --git a/src/CMakeLists.txt b/src/CMakeLists.txt index 1935f8fc..d903629b 100644 --- a/src/CMakeLists.txt +++ b/src/CMakeLists.txt @@ -672,9 +672,9 @@ set(INCLUDE_FILES heartratetask/HeartRateTask.h components/heartrate/Ppg.h components/heartrate/HeartRateController.h - libs/arduinoFFT-develop/src/arduinoFFT.h - libs/arduinoFFT-develop/src/defs.h - libs/arduinoFFT-develop/src/types.h + libs/arduinoFFT/src/arduinoFFT.h + libs/arduinoFFT/src/defs.h + libs/arduinoFFT/src/types.h components/motor/MotorController.h buttonhandler/ButtonHandler.h touchhandler/TouchHandler.h diff --git a/src/components/heartrate/Ppg.h b/src/components/heartrate/Ppg.h index 2f8a1faa..4492b2c2 100644 --- a/src/components/heartrate/Ppg.h +++ b/src/components/heartrate/Ppg.h @@ -5,8 +5,9 @@ #include // Note: Change internal define 'sqrt_internal sqrt' to // 'sqrt_internal sqrtf' to save ~3KB of flash. +#define sqrt_internal sqrtf #define FFT_SPEED_OVER_PRECISION -#include "libs/arduinoFFT-develop/src/arduinoFFT.h" +#include "libs/arduinoFFT/src/arduinoFFT.h" namespace Pinetime { namespace Controllers { diff --git a/src/libs/arduinoFFT b/src/libs/arduinoFFT new file mode 160000 index 00000000..419d7b04 --- /dev/null +++ b/src/libs/arduinoFFT @@ -0,0 +1 @@ +Subproject commit 419d7b044e56b87de8efbcf76f09c04759628fb4 diff --git a/src/libs/arduinoFFT-develop/.gitignore b/src/libs/arduinoFFT-develop/.gitignore deleted file mode 100644 index 669c7704..00000000 --- a/src/libs/arduinoFFT-develop/.gitignore +++ /dev/null @@ -1,3 +0,0 @@ -/.project -/sync.ffs_db -*.*bak 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 . - -*/ - -/* - 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 FFT = ArduinoFFT(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(); -} diff --git a/src/libs/arduinoFFT-develop/Examples/FFT_02/FFT_02.ino b/src/libs/arduinoFFT-develop/Examples/FFT_02/FFT_02.ino deleted file mode 100644 index 7164dab1..00000000 --- a/src/libs/arduinoFFT-develop/Examples/FFT_02/FFT_02.ino +++ /dev/null @@ -1,125 +0,0 @@ -/* - - Example of use of the FFT libray to compute FFT for several signals over a range of frequencies. - The exponent is calculated once before the excecution since it is a constant. - This saves resources during the excecution of the sketch and reduces the compiled size. - The sketch shows the time that the computing is taking. - - 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 . - -*/ - -#include "arduinoFFT.h" - -/* -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; -const double startFrequency = 2; -const double stopFrequency = 16.4; -const double step_size = 0.1; - -/* -These are the input and output vectors -Input vectors receive computed results from FFT -*/ -double vReal[samples]; -double vImag[samples]; - -/* Create FFT object */ -ArduinoFFT FFT = ArduinoFFT(vReal, vImag, samples, sampling); - -unsigned long startTime; - -#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() -{ - Serial.println("Frequency\tDetected\ttakes (ms)"); - Serial.println("=======================================\n"); - for(double frequency = startFrequency; frequency<=stopFrequency; frequency+=step_size) - { - /* Build raw data */ - double cycles = (((samples-1) * frequency) / sampling); - for (uint16_t i = 0; i < samples; i++) - { - vReal[i] = int8_t((amplitude * (sin((i * (TWO_PI * cycles)) / samples))) / 2.0); - vImag[i] = 0; //Reset the imaginary values vector for each new frequency - } - /*Serial.println("Data:"); - PrintVector(vReal, samples, SCL_TIME);*/ - startTime=millis(); - 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.print(frequency); - Serial.print(": \t\t"); - Serial.print(x, 4); - Serial.print("\t\t"); - Serial.print(millis()-startTime); - Serial.println(" ms"); - // delay(2000); /* Repeat after delay */ - } - 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); - if(scaleType==SCL_FREQUENCY) - Serial.print("Hz"); - Serial.print(" "); - Serial.println(vData[i], 4); - } - Serial.println(); -} diff --git a/src/libs/arduinoFFT-develop/Examples/FFT_03/FFT_03.ino b/src/libs/arduinoFFT-develop/Examples/FFT_03/FFT_03.ino deleted file mode 100644 index ee2b2946..00000000 --- a/src/libs/arduinoFFT-develop/Examples/FFT_03/FFT_03.ino +++ /dev/null @@ -1,114 +0,0 @@ -/* - - Example of use of the FFT libray to compute FFT for a signal sampled through the ADC. - - Copyright (C) 2018 Enrique Condés and Ragnar Ranøyen Homb - 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 . - -*/ - -#include "arduinoFFT.h" - -/* -These values can be changed in order to evaluate the functions -*/ -#define CHANNEL A0 -const uint16_t samples = 64; //This value MUST ALWAYS be a power of 2 -const double samplingFrequency = 100; //Hz, must be less than 10000 due to ADC -unsigned int sampling_period_us; -unsigned long microseconds; - -/* -These are the input and output vectors -Input vectors receive computed results from FFT -*/ -double vReal[samples]; -double vImag[samples]; - -/* Create FFT object */ -ArduinoFFT FFT = ArduinoFFT(vReal, vImag, samples, samplingFrequency); - -#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/samplingFrequency)); - Serial.begin(115200); - Serial.println("Ready"); -} - -void loop() -{ - /*SAMPLING*/ - microseconds = micros(); - for(int i=0; i> 1), SCL_FREQUENCY); - 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 */ -} - -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(); -} diff --git a/src/libs/arduinoFFT-develop/Examples/FFT_04/FFT_04.ino b/src/libs/arduinoFFT-develop/Examples/FFT_04/FFT_04.ino deleted file mode 100644 index b125991d..00000000 --- a/src/libs/arduinoFFT-develop/Examples/FFT_04/FFT_04.ino +++ /dev/null @@ -1,110 +0,0 @@ -/* - - Example of use of the FFT libray - - Copyright (C) 2018 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 . - -*/ - -/* - 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 spectrum magnitudes are printed. If you use the Arduino IDE - serial plotter, you will see a single spike corresponding to the 1000 Hz - frecuency. -*/ - -#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]; - -ArduinoFFT FFT = ArduinoFFT(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); -} - -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 - } - FFT.windowing(FFTWindow::Hamming, FFTDirection::Forward); /* Weigh data */ - FFT.compute(FFTDirection::Forward); /* Compute FFT */ - FFT.complexToMagnitude(); /* Compute magnitudes */ - PrintVector(vReal, samples>>1, SCL_PLOT); - double x = FFT.majorPeak(); - 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); - if(scaleType==SCL_FREQUENCY) - Serial.print("Hz"); - Serial.print(" "); - } - Serial.println(vData[i], 4); - } - Serial.println(); -} diff --git a/src/libs/arduinoFFT-develop/Examples/FFT_05/FFT_05.ino b/src/libs/arduinoFFT-develop/Examples/FFT_05/FFT_05.ino deleted file mode 100644 index a6f4df7a..00000000 --- a/src/libs/arduinoFFT-develop/Examples/FFT_05/FFT_05.ino +++ /dev/null @@ -1,124 +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 . - -*/ - -/* - 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. This frequency is printed, along with the magnitude of - the peak. -*/ - -#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 FFT = ArduinoFFT(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; - double v; - FFT.majorPeak(x, v); - Serial.print(x, 6); - Serial.print(", "); - Serial.println(v, 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(); -} diff --git a/src/libs/arduinoFFT-develop/Examples/FFT_speedup/FFT_speedup.ino b/src/libs/arduinoFFT-develop/Examples/FFT_speedup/FFT_speedup.ino deleted file mode 100644 index a059a170..00000000 --- a/src/libs/arduinoFFT-develop/Examples/FFT_speedup/FFT_speedup.ino +++ /dev/null @@ -1,129 +0,0 @@ -/* - - Example of use of the FFT libray to compute FFT for a signal sampled through the ADC - with speedup through different arduinoFFT options. Based on examples/FFT_03/FFT_03.ino - - 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 . - -*/ - -// There are two speedup options for some of the FFT code: - -// Define this to use reciprocal multiplication for division and some more speedups that might decrease precision -//#define FFT_SPEED_OVER_PRECISION - -// Define this to use a low-precision square root approximation instead of the regular sqrt() call -// This might only work for specific use cases, but is significantly faster. Only works for ArduinoFFT. -//#define FFT_SQRT_APPROXIMATION - -#include "arduinoFFT.h" - -/* -These values can be changed in order to evaluate the functions -*/ -#define CHANNEL A0 -const uint16_t samples = 64; //This value MUST ALWAYS be a power of 2 -const float samplingFrequency = 100; //Hz, must be less than 10000 due to ADC -unsigned int sampling_period_us; -unsigned long microseconds; - -/* -These are the input and output vectors -Input vectors receive computed results from FFT -*/ -float vReal[samples]; -float vImag[samples]; - -/* -Allocate space for FFT window weighing factors, so they are calculated only the first time windowing() is called. -If you don't do this, a lot of calculations are necessary, depending on the window function. -*/ -float weighingFactors[samples]; - -/* Create FFT object with weighing factor storage */ -ArduinoFFT FFT = ArduinoFFT(vReal, vImag, samples, samplingFrequency, weighingFactors); - -#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/samplingFrequency)); - Serial.begin(115200); - Serial.println("Ready"); -} - -void loop() -{ - /*SAMPLING*/ - microseconds = micros(); - for(int i=0; i> 1), SCL_FREQUENCY); - float x = FFT.majorPeak(); - Serial.println(x, 6); //Print out what frequency is the most dominant. - while(1); /* Run Once */ - // delay(2000); /* Repeat after delay */ -} - -void PrintVector(float *vData, uint16_t bufferSize, uint8_t scaleType) -{ - for (uint16_t i = 0; i < bufferSize; i++) - { - float 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(); -} diff --git a/src/libs/arduinoFFT-develop/LICENSE b/src/libs/arduinoFFT-develop/LICENSE deleted file mode 100644 index 70566f2d..00000000 --- a/src/libs/arduinoFFT-develop/LICENSE +++ /dev/null @@ -1,674 +0,0 @@ -GNU GENERAL PUBLIC LICENSE - Version 3, 29 June 2007 - - Copyright (C) 2007 Free Software Foundation, Inc. - Everyone is permitted to copy and distribute verbatim copies - of this license document, but changing it is not allowed. - - Preamble - - The GNU General Public License is a free, copyleft license for -software and other kinds of works. - - The licenses for most software and other practical works are designed -to take away your freedom to share and change the works. By contrast, -the GNU General Public License is intended to guarantee your freedom to -share and change all versions of a program--to make sure it remains free -software for all its users. We, the Free Software Foundation, use the -GNU General Public License for most of our software; it applies also to -any other work released this way by its authors. You can apply it to -your programs, too. - - When we speak of free software, we are referring to freedom, not -price. Our General Public Licenses are designed to make sure that you -have the freedom to distribute copies of free software (and charge for -them if you wish), that you receive source code or can get it if you -want it, that you can change the software or use pieces of it in new -free programs, and that you know you can do these things. - - To protect your rights, we need to prevent others from denying you -these rights or asking you to surrender the rights. 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Of course, your program's commands -might be different; for a GUI interface, you would use an "about box". - - You should also get your employer (if you work as a programmer) or school, -if any, to sign a "copyright disclaimer" for the program, if necessary. -For more information on this, and how to apply and follow the GNU GPL, see -. - - The GNU General Public License does not permit incorporating your program -into proprietary programs. If your program is a subroutine library, you -may consider it more useful to permit linking proprietary applications with -the library. If this is what you want to do, use the GNU Lesser General -Public License instead of this License. But first, please read -. \ No newline at end of file diff --git a/src/libs/arduinoFFT-develop/README.md b/src/libs/arduinoFFT-develop/README.md deleted file mode 100644 index f9229ef9..00000000 --- a/src/libs/arduinoFFT-develop/README.md +++ /dev/null @@ -1,129 +0,0 @@ -arduinoFFT -========== - -# Fast Fourier Transform for Arduino - -This is a fork from https://code.google.com/p/makefurt/ which has been abandoned since 2011. -~~This is a C++ library for Arduino for computing FFT.~~ Now it works both on Arduino and C projects. This is version 2.0 of the library, which has a different [API](#api). See here [how to migrate from 1.x to 2.x](#migrating-from-1x-to-2x). -Tested on Arduino 1.6.11 and 1.8.10. - -## Installation on Arduino - -Use the Arduino Library Manager to install and keep it updated. Just look for arduinoFFT. Only for Arduino 1.5+ - -## Manual installation on Arduino - -To install this library, just place this entire folder as a subfolder in your Arduino installation. When installed, this library should look like: - -`Arduino\libraries\arduinoFTT` (this library's folder) -`Arduino\libraries\arduinoFTT\src\arduinoFTT.h` (the library header file. include this in your project) -`Arduino\libraries\arduinoFTT\keywords.txt` (the syntax coloring file) -`Arduino\libraries\arduinoFTT\Examples` (the examples in the "open" menu) -`Arduino\libraries\arduinoFTT\LICENSE` (GPL license file) -`Arduino\libraries\arduinoFTT\README.md` (this file) - -## Building on Arduino - -After this library is installed, you just have to start the Arduino application. -You may see a few warning messages as it's built. -To use this library in a sketch, go to the Sketch | Import Library menu and -select arduinoFTT. This will add a corresponding line to the top of your sketch: - -`#include ` - -## API - -* ```ArduinoFFT(T *vReal, T *vImag, uint_fast16_t samples, T samplingFrequency, T * weighingFactors = nullptr);``` -Constructor. -The type `T` can be `float` or `double`. `vReal` and `vImag` are pointers to arrays of real and imaginary data and have to be allocated outside of ArduinoFFT. `samples` is the number of samples in `vReal` and `vImag` and `weighingFactors` (if specified). `samplingFrequency` is the sample frequency of the data. `weighingFactors` can optionally be specified to cache weighing factors for the windowing function. This speeds up repeated calls to **windowing()** significantly. You can deallocate `vReal` and `vImag` after you are done using the library, or only use specific library functions that only need one of those arrays. - -```C++ -const uint32_t nrOfSamples = 1024; -auto real = new float[nrOfSamples]; -auto imag = new float[nrOfSamples]; -auto fft = ArduinoFFT(real, imag, nrOfSamples, 10000); -// ... fill real + imag and use it ... -fft.compute(); -fft.complexToMagnitude(); -delete [] imag; -// ... continue using real and only functions that use real ... -auto peak = fft.majorPeak(); -``` -* ```~ArduinoFFT()``` -Destructor. -* ```void complexToMagnitude() const;``` -Convert complex values to their magnitude and store in vReal. Uses vReal and vImag. -* ```void compute(FFTDirection dir) const;``` -Calcuates the Fast Fourier Transform. Uses vReal and vImag. -* ```void dcRemoval() const;``` -Removes the DC component from the sample data. Uses vReal. -* ```T majorPeak() const;``` -Returns the frequency of the biggest spike in the analyzed signal. Uses vReal. -* ```void majorPeak(T &frequency, T &value) const;``` -Returns the frequency and the value of the biggest spike in the analyzed signal. Uses vReal. -* ```uint8_t revision() const;``` -Returns the library revision. -* ```void setArrays(T *vReal, T *vImag);``` -Replace the data array pointers. -* ```void windowing(FFTWindow windowType, FFTDirection dir, bool withCompensation = false);``` -Performs a windowing function on the values array. Uses vReal. The possible windowing options are: - * Rectangle - * Hamming - * Hann - * Triangle - * Nuttall - * Blackman - * Blackman_Nuttall - * Blackman_Harris - * Flat_top - * Welch - - If `withCompensation` == true, the following compensation factors are used: - * Rectangle: 1.0 * 2.0 - * Hamming: 1.8549343278 * 2.0 - * Hann: 1.8554726898 * 2.0 - * Triangle: 2.0039186079 * 2.0 - * Nuttall: 2.8163172034 * 2.0 - * Blackman: 2.3673474360 * 2.0 - * Blackman Nuttall: 2.7557840395 * 2.0 - * Blackman Harris: 2.7929062517 * 2.0 - * Flat top: 3.5659039231 * 2.0 - * Welch: 1.5029392863 * 2.0 - -## Special flags - -You can define these before including arduinoFFT.h: - -* #define FFT_SPEED_OVER_PRECISION -Define this to use reciprocal multiplication for division and some more speedups that might decrease precision. - -* #define FFT_SQRT_APPROXIMATION -Define this to use a low-precision square root approximation instead of the regular sqrt() call. This might only work for specific use cases, but is significantly faster. Only works if `T == float`. - -See the `FFT_speedup.ino` example in `Examples/FFT_speedup/FFT_speedup.ino`. - -# Migrating from 1.x to 2.x - -* The function signatures where you could pass in pointers were deprecated and have been removed. Pass in pointers to your real / imaginary array in the ArduinoFFT() constructor. If you have the need to replace those pointers during usage of the library (e.g. to free memory) you can do the following: - -```C++ -const uint32_t nrOfSamples = 1024; -auto real = new float[nrOfSamples]; -auto imag = new float[nrOfSamples]; -auto fft = ArduinoFFT(real, imag, nrOfSamples, 10000); -// ... fill real + imag and use it ... -fft.compute(); -fft.complexToMagnitude(); -delete [] real; -// ... replace vReal in library with imag ... -fft.setArrays(imag, nullptr); -// ... keep doing whatever ... -``` -* All function names are camelCase case now (start with lower-case character), e.g. "windowing()" instead of "Windowing()". - -## TODO -* Ratio table for windowing function. -* Document windowing functions advantages and disadvantages. -* Optimize usage and arguments. -* Add new windowing functions. -* ~~Spectrum table?~~ diff --git a/src/libs/arduinoFFT-develop/changeLog.txt b/src/libs/arduinoFFT-develop/changeLog.txt deleted file mode 100644 index d49b8548..00000000 --- a/src/libs/arduinoFFT-develop/changeLog.txt +++ /dev/null @@ -1,40 +0,0 @@ -02/22/20 v1.9.2 -Fix compilation on AVR systems. - -02/22/20 v1.9.1 -Add setArrays() function because of issue #32. -Add API migration info to README and improve README. -Use better sqrtf() approximation. - -02/19/20 v1.9.0 -Remove deprecated API. Consistent renaming of functions to lowercase. -Make template to be able to use float or double type (float brings a ~70% speed increase on ESP32). -Add option to provide cache for window function weighing factors (~50% speed increase on ESP32). -Add some #defines to enable math approximisations to further speed up code (~40% speed increase on ESP32). - -01/27/20 v1.5.5 -Lookup table for constants c1 and c2 used during FFT comupting. This increases the FFT computing speed in around 5%. - -02/10/18 v1.4 -Transition version. Minor optimization to functions. New API. Deprecation of old functions. - -12/06/18 v1.3 -Add support for mbed development boards. - -09/04/17 v1.2.3 -Finally solves the issue of Arduino IDE not correctly detecting and highlighting the keywords. - -09/03/17 v1.2.2 -Solves a format issue in keywords.txt that prevented keywords from being detected. - -08/28/17 v1.2.1 -Fix to issues 6 and 7. Not cleaning the imaginary vector after each cycle leaded to erroneous calculations and could cause buffer overflows. - -08/04/17 v1.2 -Fix to bug preventing the number of samples to be greater than 128. New logical limit is 32768 samples but it is bound to the RAM on the chip. - -05/12/17 v1.1 -Fix issue that prevented installation through the Arduino Library Manager interface. - -05/11/17 v1.0 -Initial commit to Arduino Library Manager. diff --git a/src/libs/arduinoFFT-develop/keywords.txt b/src/libs/arduinoFFT-develop/keywords.txt deleted file mode 100644 index 3807cdbd..00000000 --- a/src/libs/arduinoFFT-develop/keywords.txt +++ /dev/null @@ -1,41 +0,0 @@ -####################################### -# Syntax Coloring Map For arduinoFFT -####################################### - -####################################### -# Datatypes (KEYWORD1) -####################################### - -ArduinoFFT KEYWORD1 -FFTDirection KEYWORD1 -FFTWindow KEYWORD1 - -####################################### -# Methods and Functions (KEYWORD2) -####################################### - -complexToMagnitude KEYWORD2 -compute KEYWORD2 -dcRemoval KEYWORD2 -windowing KEYWORD2 -exponent KEYWORD2 -revision KEYWORD2 -majorPeak KEYWORD2 -setArrays KEYWORD2 - -####################################### -# Constants (LITERAL1) -####################################### - -Forward LITERAL1 -Reverse LITERAL1 -Rectangle LITERAL1 -Hamming LITERAL1 -Hann LITERAL1 -Triangle LITERAL1 -Nuttall LITERAL1 -Blackman LITERAL1 -Blackman_Nuttall LITERAL1 -Blackman_Harris LITERAL1 -Flat_top LITERAL1 -Welch LITERAL1 diff --git a/src/libs/arduinoFFT-develop/library.json b/src/libs/arduinoFFT-develop/library.json deleted file mode 100644 index 6c354193..00000000 --- a/src/libs/arduinoFFT-develop/library.json +++ /dev/null @@ -1,31 +0,0 @@ -{ - "name": "arduinoFFT", - "keywords": "FFT, Fourier, FDT, frequency", - "description": "A library for implementing floating point Fast Fourier Transform calculations.", - "repository": - { - "type": "git", - "url": "https://github.com/kosme/arduinoFFT.git" - }, - "authors": - [ - { - "name": "Enrique Condes", - "email": "enrique@shapeoko.com", - "maintainer": true - }, - { - "name": "Didier Longueville", - "url": "http://www.arduinoos.com/", - "email": "contact@arduinoos.com" - }, - { - "name": "Bim Overbohm", - "url": "https://github.com/HorstBaerbel", - "email": "bim.overbohm@googlemail.com" - } - ], - "version": "1.9.2", - "frameworks": ["arduino","mbed","espidf"], - "platforms": "*" -} diff --git a/src/libs/arduinoFFT-develop/library.properties b/src/libs/arduinoFFT-develop/library.properties deleted file mode 100644 index 0a909477..00000000 --- a/src/libs/arduinoFFT-develop/library.properties +++ /dev/null @@ -1,10 +0,0 @@ -name=arduinoFFT -version=1.9.2 -author=Enrique Condes -maintainer=Enrique Condes -sentence=A library for implementing floating point Fast Fourier Transform calculations on Arduino. -paragraph=With this library you can calculate the frequency of a sampled signal. -category=Data Processing -url=https://github.com/kosme/arduinoFFT -architectures=* -includes=arduinoFFT.h diff --git a/src/libs/arduinoFFT-develop/src/.gitignore b/src/libs/arduinoFFT-develop/src/.gitignore deleted file mode 100644 index 00e95bf6..00000000 --- a/src/libs/arduinoFFT-develop/src/.gitignore +++ /dev/null @@ -1 +0,0 @@ -/arduinoFFT.h.gch diff --git a/src/libs/arduinoFFT-develop/src/arduinoFFT.h b/src/libs/arduinoFFT-develop/src/arduinoFFT.h deleted file mode 100644 index fe8f9d91..00000000 --- a/src/libs/arduinoFFT-develop/src/arduinoFFT.h +++ /dev/null @@ -1,498 +0,0 @@ -/* - - FFT library - Copyright (C) 2010 Didier Longueville - 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 . - -*/ - -#ifndef ArduinoFFT_h /* Prevent loading library twice */ -#define ArduinoFFT_h -#ifdef ARDUINO -#if ARDUINO >= 100 -#include "Arduino.h" -#else -#include "WProgram.h" /* This is where the standard Arduino code lies */ -#endif -#else -#include -#include -#ifdef __AVR__ -#include -#include -#endif -#include -#include "defs.h" -#include "types.h" -#endif - -// Define this to use reciprocal multiplication for division and some more speedups that might decrease precision -//#define FFT_SPEED_OVER_PRECISION - -// Define this to use a low-precision square root approximation instead of the regular sqrt() call -// This might only work for specific use cases, but is significantly faster. Only works for ArduinoFFT. -//#define FFT_SQRT_APPROXIMATION - -#ifdef FFT_SQRT_APPROXIMATION - #include -#else - #define sqrt_internal sqrtf -#endif - -enum class FFTDirection -{ - Reverse, - Forward -}; - -enum class FFTWindow -{ - Rectangle, // rectangle (Box car) - Hamming, // hamming - Hann, // hann - Triangle, // triangle (Bartlett) - Nuttall, // nuttall - Blackman, //blackman - Blackman_Nuttall, // blackman nuttall - Blackman_Harris, // blackman harris - Flat_top, // flat top - Welch // welch -}; - -template -class ArduinoFFT -{ -public: - // Constructor - ArduinoFFT(T *vReal, T *vImag, uint_fast16_t samples, T samplingFrequency, T *windowWeighingFactors = nullptr) - : _vReal(vReal) - , _vImag(vImag) - , _samples(samples) -#ifdef FFT_SPEED_OVER_PRECISION - , _oneOverSamples(1.0 / samples) -#endif - , _samplingFrequency(samplingFrequency) - , _windowWeighingFactors(windowWeighingFactors) - { - // Calculates the base 2 logarithm of sample count - _power = 0; - while (((samples >> _power) & 1) != 1) - { - _power++; - } - } - - // Destructor - ~ArduinoFFT() - { - } - - // Get library revision - static uint8_t revision() - { - return 0x19; - } - - // Replace the data array pointers - void setArrays(T *vReal, T *vImag) - { - _vReal = vReal; - _vImag = vImag; - } - - // Computes in-place complex-to-complex FFT - void compute(FFTDirection dir) const - { - // Reverse bits / - uint_fast16_t j = 0; - for (uint_fast16_t i = 0; i < (this->_samples - 1); i++) - { - if (i < j) - { - Swap(this->_vReal[i], this->_vReal[j]); - if (dir == FFTDirection::Reverse) - { - Swap(this->_vImag[i], this->_vImag[j]); - } - } - uint_fast16_t k = (this->_samples >> 1); - while (k <= j) - { - j -= k; - k >>= 1; - } - j += k; - } - // Compute the FFT -#ifdef __AVR__ - uint_fast8_t index = 0; -#endif - T c1 = -1.0; - T c2 = 0.0; - uint_fast16_t l2 = 1; - for (uint_fast8_t l = 0; (l < this->_power); l++) - { - uint_fast16_t l1 = l2; - l2 <<= 1; - T u1 = 1.0; - T u2 = 0.0; - for (j = 0; j < l1; j++) - { - for (uint_fast16_t i = j; i < this->_samples; i += l2) - { - uint_fast16_t i1 = i + l1; - T t1 = u1 * this->_vReal[i1] - u2 * this->_vImag[i1]; - T t2 = u1 * this->_vImag[i1] + u2 * this->_vReal[i1]; - this->_vReal[i1] = this->_vReal[i] - t1; - this->_vImag[i1] = this->_vImag[i] - t2; - this->_vReal[i] += t1; - this->_vImag[i] += t2; - } - T z = ((u1 * c1) - (u2 * c2)); - u2 = ((u1 * c2) + (u2 * c1)); - u1 = z; - } -#ifdef __AVR__ - c2 = pgm_read_float_near(&(_c2[index])); - c1 = pgm_read_float_near(&(_c1[index])); - index++; -#else - T cTemp = 0.5 * c1; - c2 = sqrt_internal(0.5 - cTemp); - c1 = sqrt_internal(0.5 + cTemp); -#endif - c2 = dir == FFTDirection::Forward ? -c2 : c2; - } - // Scaling for reverse transform - if (dir != FFTDirection::Forward) - { - for (uint_fast16_t i = 0; i < this->_samples; i++) - { -#ifdef FFT_SPEED_OVER_PRECISION - this->_vReal[i] *= _oneOverSamples; - this->_vImag[i] *= _oneOverSamples; -#else - this->_vReal[i] /= this->_samples; - this->_vImag[i] /= this->_samples; -#endif - } - } - } - - void complexToMagnitude() const - { - // vM is half the size of vReal and vImag - for (uint_fast16_t i = 0; i < this->_samples; i++) - { - this->_vReal[i] = sqrt_internal(sq(this->_vReal[i]) + sq(this->_vImag[i])); - } - } - - void dcRemoval() const - { - // calculate the mean of vData - T mean = 0; - for (uint_fast16_t i = 1; i < ((this->_samples >> 1) + 1); i++) - { - mean += this->_vReal[i]; - } - mean /= this->_samples; - // Subtract the mean from vData - for (uint_fast16_t i = 1; i < ((this->_samples >> 1) + 1); i++) - { - this->_vReal[i] -= mean; - } - } - - void windowing(FFTWindow windowType, FFTDirection dir, bool withCompensation = false) - { - // check if values are already pre-computed for the correct window type and compensation - if (_windowWeighingFactors && _weighingFactorsComputed && - _weighingFactorsFFTWindow == windowType && - _weighingFactorsWithCompensation == withCompensation) - { - // yes. values are precomputed - if (dir == FFTDirection::Forward) - { - for (uint_fast16_t i = 0; i < (this->_samples >> 1); i++) - { - this->_vReal[i] *= _windowWeighingFactors[i]; - this->_vReal[this->_samples - (i + 1)] *= _windowWeighingFactors[i]; - } - } - else - { - for (uint_fast16_t i = 0; i < (this->_samples >> 1); i++) - { -#ifdef FFT_SPEED_OVER_PRECISION - // on many architectures reciprocals and multiplying are much faster than division - T oneOverFactor = 1.0 / _windowWeighingFactors[i]; - this->_vReal[i] *= oneOverFactor; - this->_vReal[this->_samples - (i + 1)] *= oneOverFactor; -#else - this->_vReal[i] /= _windowWeighingFactors[i]; - this->_vReal[this->_samples - (i + 1)] /= _windowWeighingFactors[i]; -#endif - } - } - } - else - { - // no. values need to be pre-computed or applied - T samplesMinusOne = (T(this->_samples) - 1.0); - T compensationFactor = _WindowCompensationFactors[static_cast(windowType)]; - for (uint_fast16_t i = 0; i < (this->_samples >> 1); i++) - { - T indexMinusOne = T(i); - T ratio = (indexMinusOne / samplesMinusOne); - T weighingFactor = 1.0; - // Compute and record weighting factor - switch (windowType) - { - case FFTWindow::Rectangle: // rectangle (box car) - weighingFactor = 1.0; - break; - case FFTWindow::Hamming: // hamming - weighingFactor = 0.54 - (0.46 * cos(TWO_PI * ratio)); - break; - case FFTWindow::Hann: // hann - weighingFactor = 0.54 * (1.0 - cos(TWO_PI * ratio)); - break; - case FFTWindow::Triangle: // triangle (Bartlett) - weighingFactor = 1.0 - ((2.0 * abs(indexMinusOne - (samplesMinusOne / 2.0))) / samplesMinusOne); - break; - case FFTWindow::Nuttall: // nuttall - weighingFactor = 0.355768 - (0.487396 * (cos(TWO_PI * ratio))) + (0.144232 * (cos(FOUR_PI * ratio))) - (0.012604 * (cos(SIX_PI * ratio))); - break; - case FFTWindow::Blackman: // blackman - weighingFactor = 0.42323 - (0.49755 * (cos(TWO_PI * ratio))) + (0.07922 * (cos(FOUR_PI * ratio))); - break; - case FFTWindow::Blackman_Nuttall: // blackman nuttall - weighingFactor = 0.3635819 - (0.4891775 * (cos(TWO_PI * ratio))) + (0.1365995 * (cos(FOUR_PI * ratio))) - (0.0106411 * (cos(SIX_PI * ratio))); - break; - case FFTWindow::Blackman_Harris: // blackman harris - weighingFactor = 0.35875 - (0.48829 * (cos(TWO_PI * ratio))) + (0.14128 * (cos(FOUR_PI * ratio))) - (0.01168 * (cos(SIX_PI * ratio))); - break; - case FFTWindow::Flat_top: // flat top - weighingFactor = 0.2810639 - (0.5208972 * cos(TWO_PI * ratio)) + (0.1980399 * cos(FOUR_PI * ratio)); - break; - case FFTWindow::Welch: // welch - weighingFactor = 1.0 - sq((indexMinusOne - samplesMinusOne / 2.0) / (samplesMinusOne / 2.0)); - break; - } - if (withCompensation) - { - weighingFactor *= compensationFactor; - } - if (_windowWeighingFactors) - { - _windowWeighingFactors[i] = weighingFactor; - } - if (dir == FFTDirection::Forward) - { - this->_vReal[i] *= weighingFactor; - this->_vReal[this->_samples - (i + 1)] *= weighingFactor; - } - else - { -#ifdef FFT_SPEED_OVER_PRECISION - // on many architectures reciprocals and multiplying are much faster than division - T oneOverFactor = 1.0 / weighingFactor; - this->_vReal[i] *= oneOverFactor; - this->_vReal[this->_samples - (i + 1)] *= oneOverFactor; -#else - this->_vReal[i] /= weighingFactor; - this->_vReal[this->_samples - (i + 1)] /= weighingFactor; -#endif - } - } - // mark cached values as pre-computed - _weighingFactorsFFTWindow = windowType; - _weighingFactorsWithCompensation = withCompensation; - _weighingFactorsComputed = true; - } - } - - T majorPeak() const - { - T maxY = 0; - uint_fast16_t IndexOfMaxY = 0; - //If sampling_frequency = 2 * max_frequency in signal, - //value would be stored at position samples/2 - for (uint_fast16_t i = 1; i < ((this->_samples >> 1) + 1); i++) - { - if ((this->_vReal[i - 1] < this->_vReal[i]) && (this->_vReal[i] > this->_vReal[i + 1])) - { - if (this->_vReal[i] > maxY) - { - maxY = this->_vReal[i]; - IndexOfMaxY = i; - } - } - } - T delta = 0.5 * ((this->_vReal[IndexOfMaxY - 1] - this->_vReal[IndexOfMaxY + 1]) / (this->_vReal[IndexOfMaxY - 1] - (2.0 * this->_vReal[IndexOfMaxY]) + this->_vReal[IndexOfMaxY + 1])); - T interpolatedX = ((IndexOfMaxY + delta) * this->_samplingFrequency) / (this->_samples - 1); - if (IndexOfMaxY == (this->_samples >> 1)) - { - //To improve calculation on edge values - interpolatedX = ((IndexOfMaxY + delta) * this->_samplingFrequency) / (this->_samples); - } - // returned value: interpolated frequency peak apex - return interpolatedX; - } - - void majorPeak(T &frequency, T &value) const - { - T maxY = 0; - uint_fast16_t IndexOfMaxY = 0; - //If sampling_frequency = 2 * max_frequency in signal, - //value would be stored at position samples/2 - for (uint_fast16_t i = 1; i < ((this->_samples >> 1) + 1); i++) - { - if ((this->_vReal[i - 1] < this->_vReal[i]) && (this->_vReal[i] > this->_vReal[i + 1])) - { - if (this->_vReal[i] > maxY) - { - maxY = this->_vReal[i]; - IndexOfMaxY = i; - } - } - } - T delta = 0.5 * ((this->_vReal[IndexOfMaxY - 1] - this->_vReal[IndexOfMaxY + 1]) / (this->_vReal[IndexOfMaxY - 1] - (2.0 * this->_vReal[IndexOfMaxY]) + this->_vReal[IndexOfMaxY + 1])); - T interpolatedX = ((IndexOfMaxY + delta) * this->_samplingFrequency) / (this->_samples - 1); - if (IndexOfMaxY == (this->_samples >> 1)) - { - //To improve calculation on edge values - interpolatedX = ((IndexOfMaxY + delta) * this->_samplingFrequency) / (this->_samples); - } - // returned value: interpolated frequency peak apex - frequency = interpolatedX; - value = abs(this->_vReal[IndexOfMaxY - 1] - (2.0 * this->_vReal[IndexOfMaxY]) + this->_vReal[IndexOfMaxY + 1]); - } - -private: -#ifdef __AVR__ - static const float _c1[] PROGMEM; - static const float _c2[] PROGMEM; -#endif - static const T _WindowCompensationFactors[10]; - - // Mathematial constants -#ifndef TWO_PI - static constexpr T TWO_PI = 6.28318531; // might already be defined in Arduino.h -#endif - static constexpr T FOUR_PI = 12.56637061; - static constexpr T SIX_PI = 18.84955593; - - static inline void Swap(T &x, T &y) - { - T temp = x; - x = y; - y = temp; - } - -#ifdef FFT_SQRT_APPROXIMATION - // Fast inverse square root aka "Quake 3 fast inverse square root", multiplied by x. - // Uses one iteration of Halley's method for precision. - // See: https://en.wikipedia.org/wiki/Methods_of_computing_square_roots#Iterative_methods_for_reciprocal_square_roots - // And: https://github.com/HorstBaerbel/approx - template - static inline V sqrt_internal(typename std::enable_if::value, V>::type x) - { - union // get bits for float value - { - float x; - int32_t i; - } u; - u.x = x; - u.i = 0x5f375a86 - (u.i >> 1); // gives initial guess y0. - float xu = x * u.x; - float xu2 = xu * u.x; - u.x = (0.125 * 3.0) * xu * (5.0 - xu2 * ((10.0 / 3.0) - xu2)); // Halley's method, repeating increases accuracy - return u.x; - } - - template - static inline V sqrt_internal(typename std::enable_if::value, V>::type x) - { - // According to HosrtBaerbel, on the ESP32 the approximation is not faster, so we use the standard function - #ifdef ESP32 - return sqrt(x); - #else - union // get bits for float value - { - double x; - int64_t i; - } u; - u.x = x; - u.i = 0x5fe6ec85e7de30da - (u.i >> 1); // gives initial guess y0. - double xu = x * u.x; - double xu2 = xu * u.x; - u.x = (0.125 * 3.0) * xu * (5.0 - xu2 * ((10.0 / 3.0) - xu2)); // Halley's method, repeating increases accuracy - return u.x; - #endif - } -#endif - - /* Variables */ - T *_vReal = nullptr; - T *_vImag = nullptr; - uint_fast16_t _samples = 0; -#ifdef FFT_SPEED_OVER_PRECISION - T _oneOverSamples = 0.0; -#endif - T _samplingFrequency = 0; - T *_windowWeighingFactors = nullptr; - FFTWindow _weighingFactorsFFTWindow; - bool _weighingFactorsWithCompensation = false; - bool _weighingFactorsComputed = false; - uint_fast8_t _power = 0; -}; - -#ifdef __AVR__ -template -const float ArduinoFFT::_c1[] PROGMEM = { - 0.0000000000, 0.7071067812, 0.9238795325, 0.9807852804, - 0.9951847267, 0.9987954562, 0.9996988187, 0.9999247018, - 0.9999811753, 0.9999952938, 0.9999988235, 0.9999997059, - 0.9999999265, 0.9999999816, 0.9999999954, 0.9999999989, - 0.9999999997}; - -template -const float ArduinoFFT::_c2[] PROGMEM = { - 1.0000000000, 0.7071067812, 0.3826834324, 0.1950903220, - 0.0980171403, 0.0490676743, 0.0245412285, 0.0122715383, - 0.0061358846, 0.0030679568, 0.0015339802, 0.0007669903, - 0.0003834952, 0.0001917476, 0.0000958738, 0.0000479369, - 0.0000239684}; -#endif - -template -const T ArduinoFFT::_WindowCompensationFactors[10] = { - 1.0000000000 * 2.0, // rectangle (Box car) - 1.8549343278 * 2.0, // hamming - 1.8554726898 * 2.0, // hann - 2.0039186079 * 2.0, // triangle (Bartlett) - 2.8163172034 * 2.0, // nuttall - 2.3673474360 * 2.0, // blackman - 2.7557840395 * 2.0, // blackman nuttall - 2.7929062517 * 2.0, // blackman harris - 3.5659039231 * 2.0, // flat top - 1.5029392863 * 2.0 // welch -}; - -#endif diff --git a/src/libs/arduinoFFT-develop/src/defs.h b/src/libs/arduinoFFT-develop/src/defs.h deleted file mode 100644 index 2422b243..00000000 --- a/src/libs/arduinoFFT-develop/src/defs.h +++ /dev/null @@ -1,90 +0,0 @@ -/*! \file avrlibdefs.h \brief AVRlib global defines and macros. */ -//***************************************************************************** -// -// File Name : 'avrlibdefs.h' -// Title : AVRlib global defines and macros include file -// Author : Pascal Stang -// Created : 7/12/2001 -// Revised : 9/30/2002 -// Version : 1.1 -// Target MCU : Atmel AVR series -// Editor Tabs : 4 -// -// Description : This include file is designed to contain items useful to all -// code files and projects, regardless of specific implementation. -// -// This code is distributed under the GNU Public License -// which can be found at http://www.gnu.org/licenses/gpl.txt -// -//***************************************************************************** - - -#ifndef AVRLIBDEFS_H -#define AVRLIBDEFS_H - -//#define F_CPU 4000000 -#define MEM_TYPE 1 - -// Code compatibility to new AVR-libc -// outb(), inb(), inw(), outw(), BV(), sbi(), cbi(), sei(), cli() -#ifndef outb - #define outb(addr, data) addr = (data) -#endif -#ifndef inb - #define inb(addr) (addr) -#endif -#ifndef outw - #define outw(addr, data) addr = (data) -#endif -#ifndef inw - #define inw(addr) (addr) -#endif -#ifndef BV - #define BV(bit) (1<<(bit)) -#endif -//#ifndef cbi -// #define cbi(reg,bit) reg &= ~(BV(bit)) -//#endif -//#ifndef sbi -// #define sbi(reg,bit) reg |= (BV(bit)) -//#endif -#ifndef cli - #define cli() __asm__ __volatile__ ("cli" ::) -#endif -#ifndef sei - #define sei() __asm__ __volatile__ ("sei" ::) -#endif - -// support for individual port pin naming in the mega128 -// see port128.h for details -#ifdef __AVR_ATmega128__ -// not currently necessary due to inclusion -// of these defines in newest AVR-GCC -// do a quick test to see if include is needed -#ifndef PD0 - //#include "port128.h" -#endif -#endif - -// use this for packed structures -// (this is seldom necessary on an 8-bit architecture like AVR, -// but can assist in code portability to AVR) -#define GNUC_PACKED __attribute__((packed)) - -// port address helpers -#define DDR(x) ((x)-1) // address of data direction register of port x -#define PIN(x) ((x)-2) // address of input register of port x - -// MIN/MAX/ABS macros -#define MIN(a,b) ((ab)?(a):(b)) -#define ABS(x) ((x>0)?(x):(-x)) - -// constants -#define PI 3.14159265359 - -//Math -#define sq(x) ((x)*(x)) -#define constrain(amt,low,high) ((amt)<(low)?(low):((amt)>(high)?(high):(amt))) - -#endif diff --git a/src/libs/arduinoFFT-develop/src/types.h b/src/libs/arduinoFFT-develop/src/types.h deleted file mode 100644 index 6cd7d854..00000000 --- a/src/libs/arduinoFFT-develop/src/types.h +++ /dev/null @@ -1,69 +0,0 @@ -//useful things to include in code - -#ifndef TYPES_H -#define TYPES_H - -#ifndef WIN32 - // true/false defines - #define FALSE 0 - #define TRUE -1 -#endif - -// datatype definitions macros -typedef unsigned char u08; -typedef signed char s08; -typedef unsigned short u16; -typedef signed short s16; -typedef unsigned long u32; -typedef signed long s32; -typedef unsigned long long u64; -typedef signed long long s64; - -// #ifndef __AVR__ -#ifdef __MBED__ - // use inttypes.h instead - // C99 standard integer type definitions - typedef unsigned char uint8_t; - typedef signed char int8_t; - typedef unsigned short uint16_t; - typedef signed short int16_t; - /*typedef unsigned long uint32_t; - typedef signed long int32_t; - typedef unsigned long uint64_t; - typedef signed long int64_t; - */ -#endif - -// maximum value that can be held -// by unsigned data types (8,16,32bits) -#define MAX_U08 255 -#define MAX_U16 65535 -#define MAX_U32 4294967295 - -// maximum values that can be held -// by signed data types (8,16,32bits) -#define MIN_S08 -128 -#define MAX_S08 127 -#define MIN_S16 -32768 -#define MAX_S16 32767 -#define MIN_S32 -2147483648 -#define MAX_S32 2147483647 - -#ifndef WIN32 - // more type redefinitions - typedef unsigned char BOOL; - typedef unsigned char BYTE; - typedef unsigned int WORD; - typedef unsigned long DWORD; - - typedef unsigned char UCHAR; - typedef unsigned int UINT; - typedef unsigned short USHORT; - typedef unsigned long ULONG; - - typedef char CHAR; - typedef int INT; - typedef long LONG; -#endif - -#endif