kopia lustrzana https://github.com/kosme/arduinoFFT
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/*
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Example of use of the FFT libray
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Example of use of the FFT library
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Copyright (C) 2014 Enrique Condes
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Copyright (C) 2020 Bim Overbohm (template, speed improvements)
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/*
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Example of use of the FFT libray to compute FFT for several signals over a range of frequencies.
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The exponent is calculated once before the excecution since it is a constant.
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This saves resources during the excecution of the sketch and reduces the compiled size.
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Example of use of the FFT library to compute FFT for several signals over a range of frequencies.
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The exponent is calculated once before the execution since it is a constant.
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This saves resources during the execution of the sketch and reduces the compiled size.
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The sketch shows the time that the computing is taking.
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Copyright (C) 2014 Enrique Condes
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/*
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Example of use of the FFT libray to compute FFT for a signal sampled through the ADC.
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Example of use of the FFT library to compute FFT for a signal sampled through the ADC.
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Copyright (C) 2018 Enrique Condés and Ragnar Ranøyen Homb
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Copyright (C) 2020 Bim Overbohm (template, speed improvements)
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/*
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Example of use of the FFT libray
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Example of use of the FFT library
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Copyright (C) 2018 Enrique Condes
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Copyright (C) 2020 Bim Overbohm (template, speed improvements)
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/*
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Example of use of the FFT libray
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Example of use of the FFT library
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Copyright (C) 2014 Enrique Condes
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Copyright (C) 2020 Bim Overbohm (template, speed improvements)
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/*
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Example of use of the FFT libray to compute FFT for a signal sampled through the ADC
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Example of use of the FFT library to compute FFT for a signal sampled through the ADC
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with speedup through different arduinoFFT options. Based on examples/FFT_03/FFT_03.ino
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Copyright (C) 2020 Bim Overbohm (template, speed improvements)
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"email": "bim.overbohm@googlemail.com"
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}
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],
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"version": "2.0",
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"version": "2.0.1",
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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
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version=2.0.1
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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 Arduino.
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// This might only work for specific use cases, but is significantly faster.
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#ifndef FFT_SQRT_APPROXIMATION
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#define sqrt_internal sqrt
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#ifndef sqrt_internal
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#define sqrt_internal sqrt
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#endif
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#endif
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enum class FFTDirection { Forward, Reverse };
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