public List <double> GetSynthesis(WaveletAnalysisCollection analysisCollection)
{
var reconstructedValues = new List <double>();
var scaledUpLow = UpscaleLow(analysisCollection.RearrangedLow);
var scaledUpHigh = UpscaleHigh(analysisCollection.RearrangedHigh);
var formattedLow = WaveletValuesListMirroringHelper.GetValuesListWithMirroredExtremities(scaledUpLow);
var formattedHigh = WaveletValuesListMirroringHelper.GetValuesListWithMirroredExtremities(scaledUpHigh);
for (var i = 0; i < analysisCollection.RearrangedLow.Count + analysisCollection.RearrangedHigh.Count; i++)
{
var low = 0d;
var high = 0d;
for (var j = 0; j < 9; j++)
{
low += formattedLow[i + j] * synthesisLowCoefficients[j];
high += formattedHigh[i + j] * synthesisHighCoefficients[j];
}
reconstructedValues.Add(low + high);
}
return(reconstructedValues);
}
public WaveletAnalysisCollection GetAnalysis(List <double> values)
{
var analysisCollection = new WaveletAnalysisCollection();
var formattedValues = WaveletValuesListMirroringHelper.GetValuesListWithMirroredExtremities(values);
for (var i = 0; i < values.Count; i++)
{
var low = 0d;
var high = 0d;
for (var j = 0; j < 9; j++)
{
low += formattedValues[i + j] * analysisLowCoefficients[j];
high += formattedValues[i + j] * analysisHighCoefficients[j];
}
if (i % 2 == 0)
{
low = Math.Round(low, 6);
analysisCollection.RearrangedLow.Add(low);
}
else
{
high = Math.Round(high, 6);
analysisCollection.RearrangedHigh.Add(high);
}
}
return(analysisCollection);
}