Fix detectAttVectorized
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@@ -84,9 +84,10 @@ namespace Recon {
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if(gaussWindow)
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{
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auto expectedPosWater = (distBlock / expectedSOSWater) * sampleRate + startOffset;
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auto windowWidth = calcResult.endSearch-calcResult.startSearch;
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#pragma omp parallel for
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for (size_t i = 0; i < AscanBlock.getDimSize(1); i++)
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{
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auto windowWidth = calcResult.endSearch-calcResult.startSearch;
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auto t = linspace(-5,5,windowWidth[i]);
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auto gauss = exp( -0.1 * (transpose(t) ^ 2));
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@@ -105,6 +106,7 @@ namespace Recon {
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}
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}
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else{
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#pragma omp parallel for
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for (size_t i = 0; i < AscanBlock.getDimSize(1); i++) {
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for (size_t j = calcResult.startSearch[i] - 1;
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j < calcResult.endSearch[i]; j++) {
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@@ -118,7 +120,6 @@ namespace Recon {
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return result;
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}
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//TODO:need test
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Aurora::Matrix detectAttVectorized(const Aurora::Matrix &Ascan, const Aurora::Matrix &AscanRef,
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const Aurora::Matrix &distRef,
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const Aurora::Matrix &sosWaterRef,
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@@ -170,24 +171,34 @@ namespace Recon {
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auto sampleRate = aScanReconstructionFrequency;
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double offsetElectronicSamples = offsetElectronic * sampleRate;
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Matrix diffStartSearch;
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TimeWindowResult timeResult1;
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timeResult1.AscanBlockProcessed = AscanBlock;
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TimeWindowResult timeResult2;
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timeResult2.AscanBlockProcessed = AscanRefBlock;
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if (useTimeWindowing == 1)
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{
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auto timeResult1 = applyTimeWindowing(AscanBlock, sampleRate, distBlock, sosWaterBlock, expectedSOSWater, offsetElectronicSamples, detectionWindowSOS, minSpeedOfSound, maxSpeedOfSound, gaussWindow);
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auto timeResult2= applyTimeWindowing(AscanRefBlock, sampleRate, distBlockRef, sosWaterRefBlock, expectedSOSWater, offsetElectronicSamples, detectionWindowSOS, minSpeedOfSound, maxSpeedOfSound, gaussWindow);
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timeResult1 = applyTimeWindowing(AscanBlock, sampleRate, distBlock, sosWaterBlock, expectedSOSWater, offsetElectronicSamples, detectionWindowSOS, minSpeedOfSound, maxSpeedOfSound, gaussWindow);
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timeResult2 = applyTimeWindowing(AscanRefBlock, sampleRate, distBlockRef, sosWaterRefBlock, expectedSOSWater, offsetElectronicSamples, detectionWindowSOS, minSpeedOfSound, maxSpeedOfSound, gaussWindow);
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diffStartSearch = timeResult1.startSearch - timeResult1.startSearch;
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}
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auto _AscanBlock = timeResult1.AscanBlockProcessed;
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auto _AscanRefBlock = timeResult2.AscanBlockProcessed;
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auto m = std::max(size(AscanBlock, 1), size(AscanRefBlock, 1));
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auto maxlag = std::max(size(AscanBlock, 1), size(AscanRefBlock, 1)) - 1;
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auto m = std::max(size(_AscanBlock, 1), size(_AscanRefBlock, 1));
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auto maxlag = std::max(size(_AscanBlock, 1), size(_AscanRefBlock, 1)) - 1;
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auto mxl = std::min(maxlag, m-1);
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auto ceilLog2 = nextpow2(2*m-1);
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auto m2 = pow(2,ceilLog2);
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auto x = fft(AscanBlock, m2);
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auto y = fft(AscanRefBlock, m2);
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auto c1 = ifft(x*conj(y));
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auto c = complex(zeros(mxl+mxl+1,c1.getDimSize(1)));
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auto x = fft(_AscanBlock, m2);
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auto y = fft(_AscanRefBlock, m2);
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auto c_1_1 = x*conj(y);
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auto c_1_2 = ifft(c_1_1);
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auto c1 = real(c_1_2);
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auto c = zeros(mxl+mxl+1,c1.getDimSize(1));
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#pragma omp parallel for
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for (size_t i = 0; i < mxl; i++)
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{
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c(i,$) = c1(m2-mxl+i, $);
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@@ -196,11 +207,12 @@ namespace Recon {
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c(mxl+mxl,$) = c1(mxl, $);
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auto shiftInSamples =zeros(1,c1.getDimSize(1));
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#pragma omp parallel for
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for (size_t i = 0; i < c1.getDimSize(1); i++)
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{
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long rowID=0,colID=0;
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max(c(i,$).toMatrix(),All,rowID,colID);
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shiftInSamples[i]=-maxlag+colID;
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max(c($,i).toMatrix(),All,rowID,colID);
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shiftInSamples[i]=-maxlag+colID+rowID;
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}
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if (useTimeWindowing)
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{
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@@ -208,5 +220,6 @@ namespace Recon {
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}
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auto tof = shiftInSamples / sampleRate + distBlock / sosWaterBlock;
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auto sosValue = distBlock / tof;
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return tof;
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}
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}
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@@ -73,24 +73,19 @@ TEST_F(Detection_Test, calculateAttenuation) {
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TEST_F(Detection_Test, applyTimeWindowing) {
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MatlabReader m("/home/krad/TestData/timeWindow.mat");
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MatlabReader m("/home/krad/TestData/timeWindow2.mat");
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auto AscanBlock = m.read("AscanBlock");
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auto distBlock = m.read("distBlock");
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auto sosBlock = m.read("sosBlock");
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auto AscanBlockProcessed = m.read("AscanBlockProcessed");
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auto distBlock = m.read("dists");
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auto sosBlock = m.read("waterTempBlock");
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auto AscanBlockProcessed = m.read("AscanBlock1");
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auto startSearch = m.read("startSearch");
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auto result = Recon::applyTimeWindowing(AscanBlock, 10000000, distBlock, sosBlock, 1482, 0, 0, 1400, 1650, false);
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auto result = Recon::applyTimeWindowing(AscanBlock, 10000000, distBlock, sosBlock, 1.511948131508464e+03, 5.2, 1, 1450, 1550, false);
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#pragma omp parallel for
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for (size_t i = 0; i < AscanBlockProcessed.getDataSize(); i++)
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{
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EXPECT_DOUBLE_AE(AscanBlockProcessed[i],result.AscanBlockProcessed[i])<<",index:"<<i;
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}
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auto AscanBlockProcessed2 = m.read("AscanBlockProcessed2");
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result = Recon::applyTimeWindowing(AscanBlock, 10000000, distBlock, sosBlock, 1482, 0, 0, 1400, 1650, true);
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for (size_t i = 0; i < AscanBlockProcessed2.getDataSize(); i++)
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{
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EXPECT_DOUBLE_AE(AscanBlockProcessed2[i],result.AscanBlockProcessed[i])<<",index:"<<i;
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}
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}
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@@ -102,8 +97,8 @@ TEST_F(Detection_Test, detectTofVectorized) {
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auto AscanRefBlock = m.read("AscanRefBlock");
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auto distBlock = m.read("dists");
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auto distBlockRef = m.read("distRefBlock");
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auto sosWaterBlock = m.read("sosWaterBlock");
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auto sosWaterRefBlock = m.read("sosWaterRefBlock");
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auto sosWaterBlock = m.read("waterTempBlock");
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auto sosWaterRefBlock = m.read("waterTempRefBlock");
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double expectedSOSWater = 1.511948131508464e+03;
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auto result = Recon::detectTofVectorized(
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@@ -116,5 +111,14 @@ TEST_F(Detection_Test, detectTofVectorized) {
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Recon::transParams::minSpeedOfSound,
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Recon::transParams::maxSpeedOfSound, Recon::transParams::gaussWindow);
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int size = result.getDataSize();
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MatlabReader m2("/home/krad/TestData/tofResult.mat");
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auto tof = m2.read("tof");
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auto sosvalue = m2.read("sosValue");
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EXPECT_EQ(tof.getDataSize(), result.getDataSize());
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#pragma omp parallel for
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for (size_t i = 0; i < tof.getDataSize(); i++)
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{
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EXPECT_DOUBLE_AE(tof[i],result[i])<<",index:"<<i;
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}
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}
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