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Merge pull request #2006 from srcejon/freq_scanner 

Use log2 approximation in spectrum power calculation
pull/2007/head
Edouard Griffiths 2024-03-04 21:17:47 +01:00 zatwierdzone przez GitHub
rodzic d48e9620df 84e091a1b2
commit 54ab8f61ca
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2 zmienionych plików z 63 dodań i 16 usunięć
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78
sdrbase/dsp/spectrumvis.cpp
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@ -5,6 +5,7 @@
// Copyright (C) 2015-2023 Edouard Griffiths, F4EXB <f4exb06@gmail.com> //
// Copyright (C) 2022 Jiří Pinkava <jiri.pinkava@rossum.ai> //
// Copyright (C) 2023 Arne Jünemann <das-iro@das-iro.de> //
// Copyright (C) 2023 Vladimir Pleskonjic //
// //
// 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 //
@ -135,7 +136,7 @@ void SpectrumVis::feed(const Complex *begin, unsigned int length)
v = c.real() * c.real() + c.imag() * c.imag();
m_psd[i] = v/m_powFFTDiv;
v = m_settings.m_linear ? v/m_powFFTDiv : m_mult * log2f(v) + m_ofs;
v = m_settings.m_linear ? v/m_powFFTDiv : m_mult * log2fapprox(v) + m_ofs;
m_powerSpectrum[i] = v;
}
@ -176,7 +177,7 @@ void SpectrumVis::feed(const Complex *begin, unsigned int length)
v = c.real() * c.real() + c.imag() * c.imag();
v = m_movingAverage.storeAndGetAvg(v, i);
m_psd[i] = v/m_powFFTDiv;
v = m_settings.m_linear ? v/m_powFFTDiv : m_mult * log2f(v) + m_ofs;
v = m_settings.m_linear ? v/m_powFFTDiv : m_mult * log2fapprox(v) + m_ofs;
m_powerSpectrum[i] = v;
}
@ -224,7 +225,7 @@ void SpectrumVis::feed(const Complex *begin, unsigned int length)
if (m_fixedAverage.storeAndGetAvg(avg, v, i))
{
m_psd[i] = avg/m_powFFTDiv;
avg = m_settings.m_linear ? avg/m_powFFTDiv : m_mult * log2f(avg) + m_ofs;
avg = m_settings.m_linear ? avg/m_powFFTDiv : m_mult * log2fapprox(avg) + m_ofs;
m_powerSpectrum[i] = avg;
}
}
@ -275,7 +276,7 @@ void SpectrumVis::feed(const Complex *begin, unsigned int length)
if (m_max.storeAndGetMax(max, v, i))
{
m_psd[i] = max/m_powFFTDiv;
max = m_settings.m_linear ? max/m_powFFTDiv : m_mult * log2f(max) + m_ofs;
max = m_settings.m_linear ? max/m_powFFTDiv : m_mult * log2fapprox(max) + m_ofs;
m_powerSpectrum[i] = max;
}
}
@ -450,7 +451,7 @@ void SpectrumVis::processFFT(bool positiveOnly)
v = c.real() * c.real() + c.imag() * c.imag();
m_psd[i] = v/m_powFFTDiv;
m_specMax = v > m_specMax ? v : m_specMax;
v = m_settings.m_linear ? v/m_powFFTDiv : m_mult * log2f(v) + m_ofs;
v = m_settings.m_linear ? v/m_powFFTDiv : m_mult * log2fapprox(v) + m_ofs;
m_powerSpectrum[i * 2] = v;
m_powerSpectrum[i * 2 + 1] = v;
}
@ -463,14 +464,14 @@ void SpectrumVis::processFFT(bool positiveOnly)
v = c.real() * c.real() + c.imag() * c.imag();
m_psd[i] = v/m_powFFTDiv;
m_specMax = v > m_specMax ? v : m_specMax;
v = m_settings.m_linear ? v/m_powFFTDiv : m_mult * log2f(v) + m_ofs;
v = m_settings.m_linear ? v/m_powFFTDiv : m_mult * log2fapprox(v) + m_ofs;
m_powerSpectrum[i] = v;
c = fftOut[i];
v = c.real() * c.real() + c.imag() * c.imag();
m_psd[i + halfSize] = v/m_powFFTDiv;
m_specMax = v > m_specMax ? v : m_specMax;
v = m_settings.m_linear ? v/m_powFFTDiv : m_mult * log2f(v) + m_ofs;
v = m_settings.m_linear ? v/m_powFFTDiv : m_mult * log2fapprox(v) + m_ofs;
m_powerSpectrum[i + halfSize] = v;
}
}
@ -512,7 +513,7 @@ void SpectrumVis::processFFT(bool positiveOnly)
v = m_movingAverage.storeAndGetAvg(v, i);
m_psd[i] = v/m_powFFTDiv;
m_specMax = v > m_specMax ? v : m_specMax;
v = m_settings.m_linear ? v/m_powFFTDiv : m_mult * log2f(v) + m_ofs;
v = m_settings.m_linear ? v/m_powFFTDiv : m_mult * log2fapprox(v) + m_ofs;
m_powerSpectrum[i * 2] = v;
m_powerSpectrum[i * 2 + 1] = v;
}
@ -526,7 +527,7 @@ void SpectrumVis::processFFT(bool positiveOnly)
v = m_movingAverage.storeAndGetAvg(v, i+halfSize);
m_psd[i] = v/m_powFFTDiv;
m_specMax = v > m_specMax ? v : m_specMax;
v = m_settings.m_linear ? v/m_powFFTDiv : m_mult * log2f(v) + m_ofs;
v = m_settings.m_linear ? v/m_powFFTDiv : m_mult * log2fapprox(v) + m_ofs;
m_powerSpectrum[i] = v;
c = fftOut[i];
@ -534,7 +535,7 @@ void SpectrumVis::processFFT(bool positiveOnly)
v = m_movingAverage.storeAndGetAvg(v, i);
m_psd[i + halfSize] = v/m_powFFTDiv;
m_specMax = v > m_specMax ? v : m_specMax;
v = m_settings.m_linear ? v/m_powFFTDiv : m_mult * log2f(v) + m_ofs;
v = m_settings.m_linear ? v/m_powFFTDiv : m_mult * log2fapprox(v) + m_ofs;
m_powerSpectrum[i + halfSize] = v;
}
}
@ -582,7 +583,7 @@ void SpectrumVis::processFFT(bool positiveOnly)
{
m_psd[i] = avg/m_powFFTDiv;
specMax = avg > specMax ? avg : specMax;
avg = m_settings.m_linear ? avg/m_powFFTDiv : m_mult * log2f(avg) + m_ofs;
avg = m_settings.m_linear ? avg/m_powFFTDiv : m_mult * log2fapprox(avg) + m_ofs;
m_powerSpectrum[i * 2] = avg;
m_powerSpectrum[i * 2 + 1] = avg;
}
@ -600,7 +601,7 @@ void SpectrumVis::processFFT(bool positiveOnly)
{
m_psd[i] = avg/m_powFFTDiv;
specMax = avg > specMax ? avg : specMax;
avg = m_settings.m_linear ? avg/m_powFFTDiv : m_mult * log2f(avg) + m_ofs;
avg = m_settings.m_linear ? avg/m_powFFTDiv : m_mult * log2fapprox(avg) + m_ofs;
m_powerSpectrum[i] = avg;
}
@ -612,7 +613,7 @@ void SpectrumVis::processFFT(bool positiveOnly)
{
m_psd[i + halfSize] = avg/m_powFFTDiv;
specMax = avg > specMax ? avg : specMax;
avg = m_settings.m_linear ? avg/m_powFFTDiv : m_mult * log2f(avg) + m_ofs;
avg = m_settings.m_linear ? avg/m_powFFTDiv : m_mult * log2fapprox(avg) + m_ofs;
m_powerSpectrum[i + halfSize] = avg;
}
}
@ -665,7 +666,7 @@ void SpectrumVis::processFFT(bool positiveOnly)
{
m_psd[i] = max/m_powFFTDiv;
specMax = max > specMax ? max : specMax;
max = m_settings.m_linear ? max/m_powFFTDiv : m_mult * log2f(max) + m_ofs;
max = m_settings.m_linear ? max/m_powFFTDiv : m_mult * log2fapprox(max) + m_ofs;
m_powerSpectrum[i * 2] = max;
m_powerSpectrum[i * 2 + 1] = max;
}
@ -683,7 +684,7 @@ void SpectrumVis::processFFT(bool positiveOnly)
{
m_psd[i] = max/m_powFFTDiv;
specMax = max > specMax ? max : specMax;
max = m_settings.m_linear ? max/m_powFFTDiv : m_mult * log2f(max) + m_ofs;
max = m_settings.m_linear ? max/m_powFFTDiv : m_mult * log2fapprox(max) + m_ofs;
m_powerSpectrum[i] = max;
}
@ -695,7 +696,7 @@ void SpectrumVis::processFFT(bool positiveOnly)
{
m_psd[i + halfSize] = max/m_powFFTDiv;
specMax = max > specMax ? max : specMax;
max = m_settings.m_linear ? max/m_powFFTDiv : m_mult * log2f(max) + m_ofs;
max = m_settings.m_linear ? max/m_powFFTDiv : m_mult * log2fapprox(max) + m_ofs;
m_powerSpectrum[i + halfSize] = max;
}
}
@ -1084,3 +1085,48 @@ void SpectrumVis::webapiUpdateSpectrumSettings(
settings.updateFrom(prefixedKeys, &response);
}
// To calculate power, the usual equation:
// 10*log10(V1/V2), where V2=fftSize^2
// is calculated using log2 instead, with:
// ofs=20.0f * log10f(1.0f / fftSize)
// mult=(10.0f / log2(10.0f))
// dB = m_mult * log2f(v) + m_ofs
// However, while the gcc version of log2f is twice as fast as log10f,
// MSVC version is 6x slower.
// Also, we don't need full accuracy of log2f for calculating the power for the spectrum,
// so we can use the following approximation to get a good speed-up for both compilers:
// https://www.vplesko.com/posts/replacing_log2f.html
// https://www.vplesko.com/assets/replacing_log2f/main.c.txt
float SpectrumVis::log2fapprox(float x) const
{
// IEEE 754 representation constants.
const int32_t mantissaLen = 23;
const int32_t mantissaMask = (1 << mantissaLen) - 1;
const int32_t baseExponent = -127;
// Reinterpret x as int in a standard compliant way.
int32_t xi;
memcpy(&xi, &x, sizeof(xi));
// Calculate exponent of x.
float e = (float)((xi >> mantissaLen) + baseExponent);
// Calculate mantissa of x. It will be in range [1, 2).
float m;
int32_t mxi = (xi & mantissaMask) | ((-baseExponent) << mantissaLen);
memcpy(&m, &mxi, sizeof(m));
// Use Remez algorithm-generated approximation polynomial
// for log2(a) where a is in range [1, 2].
float l = 0.15824871f;
l = l * m + -1.051875f;
l = l * m + 3.0478842f;
l = l * m + -2.1536207f;
// Add exponent to the calculation.
// Final log is log2(m*2^e)=log2(m)+e.
l += e;
return l;
}

1
sdrbase/dsp/spectrumvis.h
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@ -259,6 +259,7 @@ private:
void handleScalef(Real scalef);
void handleWSOpenClose(bool openClose);
void handleConfigureWSSpectrum(const QString& address, uint16_t port);
float log2fapprox(float x) const;
static void webapiFormatSpectrumSettings(SWGSDRangel::SWGGLSpectrum& response, const SpectrumSettings& settings);
static void webapiUpdateSpectrumSettings(