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CSV export + DFT math operation

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This commit is contained in:
Jan Käberich 2020-12-11 20:28:40 +01:00
parent 79a990af47
commit 6e55eb02dd
27 changed files with 935 additions and 52 deletions
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16
Software/PC_Application/Traces/Math/tdr.cpp
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@ -138,6 +138,9 @@ nlohmann::json TDR::toJSON()
void TDR::fromJSON(nlohmann::json j)
{
if(j.contains("window")) {
window.fromJSON(j["window"]);
}
if(j.value("bandpass_mode", true)) {
mode = Mode::Bandpass;
} else {
@ -166,7 +169,7 @@ void TDR::inputSamplesChanged(unsigned int begin, unsigned int end)
return;
}
vector<complex<double>> frequencyDomain;
auto stepSize = input->rData()[1].x - input->rData()[0].x;
auto stepSize = (input->rData().back().x - input->rData().front().x) / (input->rData().size() - 1);
if(mode == Mode::Lowpass) {
if(stepResponse) {
auto steps = input->rData().size();
@ -180,6 +183,7 @@ void TDR::inputSamplesChanged(unsigned int begin, unsigned int end)
if(firstStep * steps != input->rData().back().x) {
// data is not available with correct frequency spacing, calculate required steps
steps = input->rData().back().x / firstStep;
stepSize = firstStep;
}
frequencyDomain.resize(2 * steps + 1);
// copy frequencies, use the flipped conjugate for negative part
@ -259,3 +263,13 @@ void TDR::updateTDR()
inputSamplesChanged(0, input->rData().size());
}
}
const WindowFunction& TDR::getWindow() const
{
return window;
}
TDR::Mode TDR::getMode() const
{
return mode;
}