/// <summary>
/// This algorithm is used for full band width events such as a rain and wind.
/// It calculates a content score based on a template match to what is in the full spectrum.
/// </summary>
/// <param name="manifest">A description of the template which is to be created.</param>
/// <param name="templateIndices">The actual dictionary of template arrays.</param>
/// <returns>A new template.</returns>
public static Dictionary <string, double[]> CreateFullBandTemplate1(TemplateManifest manifest, Dictionary <string, double[, ]> templateIndices)
{
// Get the template provenance. Assume array contains only one element.
var provenanceArray = manifest.Provenance;
var provenance = provenanceArray[0];
var startRowId = provenance.StartOffset;
var endRowId = provenance.EndOffset;
var dictionaryOfVector = DataProcessing.AverageIndicesOverMinutes(templateIndices, startRowId, endRowId);
var reducedIndices = DataProcessing.ReduceIndicesByFactor(dictionaryOfVector, manifest.SpectralReductionFactor);
return(reducedIndices);
}
// ###################################################################################
/// <summary>
/// This algorithm is used for broad band events such as a bird chorus.
/// It selects acoustic content over a band of several kHz and calculates a content score based on a template match to what is in the band.
/// </summary>
/// <param name="manifest">A previously prepared template.</param>
/// <param name="templateIndices">The actual dictionary of template arrays.</param>
/// <returns>A similarity score.</returns>
public static Dictionary <string, double[]> CreateBroadbandTemplate1(TemplateManifest manifest, Dictionary <string, double[, ]> templateIndices)
{
// Get the template provenance. Assume array contains only one element.
var provenanceArray = manifest.Provenance;
var provenance = provenanceArray[0];
var startRowId = provenance.StartOffset;
var endRowId = provenance.EndOffset;
var reductionFactor = manifest.SpectralReductionFactor;
var dictionaryOfVector = DataProcessing.AverageIndicesOverMinutes(templateIndices, startRowId, endRowId);
// remove first two freq bins and last four freq bins, i.e. bottomBin = 2 and topBin = 11;
int freqBinCount = ContentSignatures.FreqBinCount / reductionFactor;
int bottomFreq = manifest.BandMinHz; //Hertz
int topFreq = manifest.BandMaxHz; //Hertz
var freqBinBounds = DataProcessing.GetFreqBinBounds(bottomFreq, topFreq, freqBinCount);
var reducedIndices = DataProcessing.ReduceIndicesByFactor(dictionaryOfVector, reductionFactor);
reducedIndices = DataProcessing.ApplyBandPass(reducedIndices, freqBinBounds[0], freqBinBounds[1]);
return(reducedIndices);
}
