public Vector<Double>[] calcIntensity() throws Exception {
int fileIndex = 0;
@SuppressWarnings("unchecked")
Vector<Double>[] indexedReturn = new Vector[this.rawData.size()];
for (RawData raw : this.rawData) {
Vector<Double> sampleReturn = new Vector<Double>();
if (raw.getSegmentStartBorders().size() != 0
&& dataNormingRate
!= 0) { // raw.getSegmentStartBorders().size()!=0 is true if segmentation is used.
for (int i = 0;
i < raw.getSegmentStartBorders().size();
i++) { // Calculates and saves intensity values for all Segments
Timestamp start = raw.getSegmentStartBorders().get(i);
if (i == 0) {
double intensity = this.calcIntensity(raw.getTimestamps()[0], start, fileIndex);
sampleReturn.add((intensity));
}
if (i < raw.getSegmentStartBorders().size() - 1) {
Timestamp nextStart = raw.getSegmentStartBorders().get(i + 1);
double intensity =
this.calcIntensity(start, nextStart, fileIndex); // //DATA NORMING PART
for (int y = 0;
y < (nextStart.getTime() - start.getTime()) / dataNormingRate;
y++) { // divided by dataNormingRate to reduce DataOutput
sampleReturn.add((intensity));
}
}
}
} else {
System.out.println(
"Calculation for this module not possible without segmentation and at least data norming of 1!");
}
indexedReturn[fileIndex] = sampleReturn;
fileIndex++;
}
logger.info("Stepcounter " + stepCounter);
return indexedReturn;
}
