Remove unnecessary code
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70488f8262
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5ee4208c32
@ -21,8 +21,6 @@ using namespace std::chrono_literals;
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EyeDiagramPlot::EyeDiagramPlot(TraceModel &model, QWidget *parent)
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: TracePlot(model, parent),
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trace(nullptr),
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updating(false),
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updateScheduled(false),
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xSamples(200),
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datarate(100000000),
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highlevel(1.0),
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@ -88,9 +86,7 @@ void EyeDiagramPlot::enableTrace(Trace *t, bool enabled)
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} else {
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if(trace) {
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tdr->removeInput();
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while(updating) {
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std::this_thread::sleep_for(20ms);
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}
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std::lock_guard<std::mutex> calc(calcMutex);
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displayData->clear();
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calcData->clear();
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}
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@ -724,238 +720,6 @@ QPointF EyeDiagramPlot::pixelToPlotValue(QPoint pixel)
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return p;
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}
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void EyeDiagramPlot::updateThread(unsigned int xSamples)
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{
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std::lock_guard<std::mutex> calc(calcMutex);
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do {
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updateScheduled = false;
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setStatus("Starting calculation...");
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if(!trace) {
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setStatus("No trace assigned");
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continue;
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}
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qDebug() << "Starting eye diagram calculation";
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// sanity check values
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if(datarate >= trace->getSample(trace->numSamples() - 1).x) {
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setStatus("Data rate too high");
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continue;
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}
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if(datarate <= 0) {
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setStatus("Data rate too low");
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continue;
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}
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if(risetime > 0.3 * 1.0 / datarate) {
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setStatus("Rise time too high");
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continue;
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}
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if(falltime > 0.3 * 1.0 / datarate) {
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setStatus("Fall time too high");
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continue;
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}
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if(jitter > 0.3 * 1.0 / datarate) {
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setStatus("Jitter too high");
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continue;
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}
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qDebug() << "Eye calculation: input values okay";
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// calculate timestep
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double timestep = calculatedTime() / xSamples;
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// reserve vector for input data
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std::vector<std::complex<double>> inVec(xSamples * (cycles + 1), 0.0); // needs to calculate one more cycle than required for the display (settling)
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// resize working buffer
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qDebug() << "Clearing old eye data, calcData:" << calcData;
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calcData->clear();
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calcData->resize(xSamples);
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for(auto& s : *calcData) {
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s.y.resize(cycles, 0.0);
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}
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setStatus("Extracting impulse response...");
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// calculate impulse response of trace
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double eyeTimeShift = 0;
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std::vector<std::complex<double>> impulseVec;
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// determine how long the impulse response is
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auto samples = tdr->numSamples();
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if(samples == 0) {
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// TDR calculation not yet done, unable to update
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updating = false;
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setStatus("No time-domain data from trace");
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return;
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}
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auto length = tdr->getSample(samples - 1).x;
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// determine average delay
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auto total_step = tdr->getStepResponse(samples - 1);
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for(unsigned int i=0;i<samples;i++) {
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auto step = tdr->getStepResponse(i);
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if(abs(total_step - step) <= abs(step)) {
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// mid point reached
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eyeTimeShift = tdr->getSample(i).x;
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break;
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}
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}
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unsigned long convolutedSize = length / timestep;
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if(convolutedSize > inVec.size()) {
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// impulse response is longer than what we display, truncate
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convolutedSize = inVec.size();
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}
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impulseVec.resize(convolutedSize);
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/*
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* we can't use the impulse response directly because we most likely need samples inbetween
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* the calculated values. Interpolation is available but if our sample spacing here is much
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* wider than the impulse response data, we might miss peaks (or severely miscalculate their
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* amplitude.
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* Instead, the step response is interpolated and the impulse response determined by deriving
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* it from the interpolated step response data. As the step response is the integrated imulse
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* response data, we can't miss narrow peaks that way.
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*/
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double lastStepResponse = 0.0;
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for(unsigned long i=0;i<convolutedSize;i++) {
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auto x = i*timestep;
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auto step = tdr->getInterpolatedStepResponse(x);
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impulseVec[i] = step - lastStepResponse;
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lastStepResponse = step;
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}
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eyeTimeShift += (risetime + falltime) * 1.25 / 4;
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eyeTimeShift += 0.5 / datarate;
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int eyeXshift = eyeTimeShift / timestep;
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qDebug() << "Eye calculation: TDR calculation done";
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setStatus("Generating PRBS sequence...");
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auto prbs = PRBS(patternbits);
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auto getNextLevel = [&]() -> unsigned int {
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unsigned int level = 0;
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for(unsigned int i=0;i<bitsPerSymbol;i++) {
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level <<= 1;
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if(prbs.next()) {
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level |= 0x01;
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}
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}
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return level;
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};
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auto levelToVoltage = [=](unsigned int level) -> double {
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unsigned int maxLevel = (0x01 << bitsPerSymbol) - 1;
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return Util::Scale((double) level, 0.0, (double) maxLevel, lowlevel, highlevel);
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};
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unsigned int currentSignal = getNextLevel();
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unsigned int nextSignal = getNextLevel();
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// initialize random generator
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std::random_device rd1;
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std::mt19937 mt_noise(rd1());
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std::normal_distribution<> dist_noise(0, noise);
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std::random_device rd2;
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std::mt19937 mt_jitter(rd2());
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std::normal_distribution<> dist_jitter(0, jitter);
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unsigned int bitcnt = 1;
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double transitionTime = -10; // assume that we start with a settled input, last transition was "long" ago
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for(unsigned int i=0;i<inVec.size();i++) {
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double time = (i+eyeXshift)*timestep;
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double voltage = 0.0;
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if(time >= transitionTime) {
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// currently within a bit transition
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double edgeTime = 0;
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double expTimeConstant = 0.0;
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if(currentSignal < nextSignal) {
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edgeTime = risetime;
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} else if(currentSignal > nextSignal) {
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edgeTime = falltime;
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}
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if(linearEdge) {
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// edge is modeled as linear rise/fall
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// increase slightly to account for typical 10/90% fall/rise time
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edgeTime *= 1.25;
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} else {
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// edge is modeled as exponential rise/fall. Adjust time constant to match
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// selected rise/fall time (with 10-90% signal rise/fall within specified time)
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expTimeConstant = edgeTime / 2.197224577;
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edgeTime = 6 * expTimeConstant; // after six time constants, 99.7% of signal movement has happened
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}
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if(time >= transitionTime + edgeTime) {
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// bit transition settled
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voltage = levelToVoltage(nextSignal);
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// move on to the next bit
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currentSignal = nextSignal;
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nextSignal = getNextLevel();
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transitionTime = bitcnt * 1.0 / datarate + dist_jitter(mt_jitter);
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bitcnt++;
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} else {
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// still within rise or fall time
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double timeSinceEdge = time - transitionTime;
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double from = levelToVoltage(currentSignal);
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double to = levelToVoltage(nextSignal);
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if(linearEdge) {
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double edgeRatio = timeSinceEdge / edgeTime;
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voltage = from * (1.0 - edgeRatio) + to * edgeRatio;
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} else {
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voltage = from + (1.0 - exp(-timeSinceEdge/expTimeConstant)) * (to - from);
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}
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}
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} else {
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// still before the next edge
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voltage = levelToVoltage(currentSignal);
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}
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voltage += dist_noise(mt_noise);
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inVec[i] = voltage;
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}
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// input voltage vector fully assembled
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qDebug() << "Eye calculation: input data generated";
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setStatus("Performing convolution...");
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qDebug() << "Convolve via FFT start";
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std::vector<std::complex<double>> outVec;
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impulseVec.resize(inVec.size(), 0.0);
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outVec.resize(inVec.size());
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Fft::convolve(inVec, impulseVec, outVec);
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qDebug() << "Convolve via FFT stop";
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// fill data from outVec
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for(unsigned int i=0;i<xSamples;i++) {
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(*calcData).at(i).x = i * timestep;
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}
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for(unsigned int i=xSamples;i<inVec.size();i++) {
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unsigned int x = i % xSamples;
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unsigned int y = i / xSamples - 1;
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(*calcData).at(x).y.at(y) = outVec[i].real();
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}
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qDebug() << "Eye calculation: Convolution done";
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{
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std::lock_guard<std::mutex> guard(bufferSwitchMutex);
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// switch buffers
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qDebug() << "Switching diplay buffers, calcData:" << calcData;
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auto buf = displayData;
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displayData = calcData;
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calcData = buf;
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if((*displayData)[0].y[0] == 0.0 && (*displayData)[0].y[1] == 0.0) {
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qDebug() << "detected null after eye calculation";
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}
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qDebug() << "Buffer switch complete, displayData:" << displayData;
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}
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setStatus("Eye calculation complete");
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replot();
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} while (updateScheduled);
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updating = false;
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}
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void EyeDiagramPlot::triggerUpdate()
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{
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// trigger the thread
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@ -1051,7 +815,6 @@ void EyeThread::run()
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auto samples = eye.tdr->numSamples();
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if(samples == 0) {
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// TDR calculation not yet done, unable to update
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eye.updating = false;
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eye.setStatus("No time-domain data from trace");
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continue;
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}
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@ -69,7 +69,6 @@ private:
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static constexpr double yOverrange = 0.2;
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QPoint plotValueToPixel(QPointF plotValue);
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QPointF pixelToPlotValue(QPoint pixel);
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void updateThread(unsigned int xSamples);
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void setStatus(QString s);
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double calculatedTime();
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double minDisplayVoltage();
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@ -91,8 +90,6 @@ private:
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std::vector<Xdata> data[2];
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std::vector<Xdata> *displayData;
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std::vector<Xdata> *calcData;
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bool updating;
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bool updateScheduled;
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unsigned int xSamples;
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double datarate;
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