} //Execute_Spr_Match()
public static Tuple <double> Execute_One_Spr_Match(char[,] template, double[,] dataMatrix, double dBThreshold)
{
int lineLength = 10;
int templateFrames = template.GetLength(0); // time axis - SPR template is same orientation as the sonogram data matrix
int templateFreqBins = template.GetLength(1); // freq axis
int cellCount = templateFrames * templateFreqBins;
int positiveCount = SprTools.CountTemplateChars(template);
int negativeCount = cellCount - positiveCount;
Log.WriteLine("TEMPLATE: Number of POS cells/total = {0}/{1}", positiveCount, cellCount);
char[,] charogram = SprTools.Target2SymbolicTracks(dataMatrix, dBThreshold, lineLength);
FileTools.WriteMatrix2File(charogram, "C:\\SensorNetworks\\Output\\FELT_LewinsRail1\\charogram.txt"); //view the char-ogram
double onSum = 0.0;
double offSum = 0.0;
// calculate onSum and offSum
// freq axis
for (int j = 0; j < templateFreqBins; j++)
{
for (int i = 0; i < templateFrames; i++)
{
if (charogram[i, j] == '-')
{
continue;
}
else
if (template[i, j] == '-')
{
offSum += dataMatrix[i, j];
}
else
{
//char ColumnLeft = charogram[i, j];
//char ColumnRight = template[i, j];
//int difference = (int)ColumnLeft - (int)ColumnRight;
int diff = SprTools.SymbolDifference(charogram[i, j], template[i, j]);
//LoggedConsole.WriteLine("{0},{1} diff={2}", i,j, diff);
onSum += (90 - diff) / (double)90 * dataMatrix[i, j];
}
}
} // calculate similarity
//following line yields score = av of PosCells - av of NegCells.
double similarity = (onSum / positiveCount) - (offSum / negativeCount);
var tuple = Tuple.Create(similarity);
return(tuple);
} //Execute_One_Spr_Match()
/// <summary>
/// Use this method to find match in sonogram to a symbolic definition of a bird call.
/// That is, the template should be matrix of binary or trinary values.
/// </summary>
public static Tuple <double[]> Execute_Spr_Match(char[,] template, SpectrogramStandard sonogram,
List <AcousticEvent> segments, int minHz, int maxHz, double dBThreshold)
{
int lineLength = 10;
//dBThreshold = 9;
Log.WriteLine("SEARCHING FOR EVENTS LIKE TARGET (SPR).");
if (segments == null)
{
return(null);
}
int minBin = (int)(minHz / sonogram.FBinWidth);
int maxBin = (int)(maxHz / sonogram.FBinWidth);
int templateFrames = template.GetLength(0); // time axis - SPR template is same orientation as the sonogram data matrix
int templateFreqBins = template.GetLength(1); // freq axis
int cellCount = templateFrames * templateFreqBins;
int positiveCount = SprTools.CountTemplateChars(template);
int negativeCount = cellCount - positiveCount;
Log.WriteLine("TEMPLATE: Number of POS cells/total cells = {0}/{1}", positiveCount, cellCount);
// Log.WriteLine("TEMPLATE: Number of NEG cells/total cells = {0}/{1}", negativeCount, cellCount);
char[,] charogram = SprTools.Target2SymbolicTracks(sonogram.Data, dBThreshold, lineLength);
//var m = DataTools.MatrixTranspose(charogram);
FileTools.WriteMatrix2File(charogram, "C:\\SensorNetworks\\Output\\FELT_MultiOutput_5templates\\char_ogram.txt"); //view the char-ogram
double[] scores = new double[sonogram.FrameCount];
foreach (AcousticEvent av in segments)
{
Log.WriteLine("SEARCHING SEGMENT.");
int startRow = (int)Math.Floor(av.TimeStart * sonogram.FramesPerSecond);
int endRow = (int)Math.Floor(av.TimeEnd * sonogram.FramesPerSecond);
if (endRow >= sonogram.FrameCount)
{
endRow = sonogram.FrameCount;
}
int stopRow = endRow - templateFrames - 1;
if (stopRow <= startRow)
{
stopRow = startRow + 1; //want minimum of one row
}
for (int r = startRow; r < stopRow; r++)
{
double maxSimilarity = -double.MaxValue;
int binBuffer = 10;
// calculate similarity at one frame position
for (int bin = -binBuffer; bin < +binBuffer; bin++)
{
int c = minBin + bin;
if (c < 0)
{
c = 0;
}
double onSum = 0.0;
double offSum = 0.0;
// calculate onSum and offSum
// freq axis
for (int j = 0; j < templateFreqBins; j++)
{
for (int i = 0; i < templateFrames; i++)
{
if (charogram[r + i, c + j] == '-')
{
continue;
}
else
if (template[i, j] == '-')
{
offSum += sonogram.Data[r + i, c + j];
}
else
{
//char ColumnLeft = charogram[r + i, c + j];
//char ColumnRight = template[i, j];
//int difference = (int)ColumnLeft - (int)ColumnRight;
int diff = SprTools.SymbolDifference(charogram[r + i, c + j], template[i, j]);
onSum += (90 - diff) / (double)90 * sonogram.Data[r + i, c + j];
}
}
} // calculate similarity
double similarity = (onSum / positiveCount) - (offSum / negativeCount);
if (similarity > maxSimilarity)
{
maxSimilarity = similarity;
}
} // end freq bins
//following line yields score = av of PosCells - av of NegCells.
scores[r] = maxSimilarity;
//if (r % 100 == 0) { LoggedConsole.WriteLine("{0} - {1:f3}", r, scores[r]); }
//if (scores[r] >= dBThreshold) { LoggedConsole.WriteLine("r={0} score={1}.", r, scores[r]); }
if (r % 100 == 0)
{
LoggedConsole.Write(".");
}
if (scores[r] < dBThreshold)
{
r += 3; //skip where score is low
}
} // end of rows in segment
LoggedConsole.WriteLine("\nFINISHED SEARCHING SEGMENT FOR ACOUSTIC EVENT.");
} // foreach (AcousticEvent av in segments)
var tuple = Tuple.Create(scores);
return(tuple);
} //Execute_Spr_Match()