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AF squelch
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@ -117,7 +117,7 @@ void AFSquelch::setCoefficients(int N, unsigned int nbAvg, int _samplerate, int
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// for each of the frequencies (tones) of interest calculate
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// k and the associated filter coefficient as per the Goertzel
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// algorithm. Note: we are using a real value (as apposed to
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// algorithm. Note: we are using a real value (as opposed to
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// an integer as described in some references. k is retained
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// for later display. The tone set is specified in the
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// constructor. Notice that the resulting coefficients are
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@ -182,7 +182,8 @@ void AFSquelch::feedForward()
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{
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m_power[j] = (m_u0[j] * m_u0[j]) + (m_u1[j] * m_u1[j]) - (m_coef[j] * m_u0[j] * m_u1[j]);
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m_movingAverages[j].feed(m_power[j]);
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m_u0[j] = m_u1[j] = 0.0; // reset for next block.
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m_u0[j] = 0.0;
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m_u1[j] = 0.0; // reset for next block.
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}
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evaluate();
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@ -229,7 +230,7 @@ bool AFSquelch::evaluate()
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}
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// principle is to open if power is uneven because noise gives even power
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bool open = maxPower == 0.0 ? true : (minPower/maxPower < m_threshold) && (minIndex > maxIndex);
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bool open = maxPower > 0.0 ? (minPower/maxPower < m_threshold) && (minIndex > maxIndex) : true;
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//qDebug("AFSquelch::evaluate: %g : %g", minPower/maxPower, m_threshold);
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if (open)
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