/*-
* Copyright 2015 Diamond Light Source Ltd.
*
* All rights reserved. This program and the accompanying materials
* are made available under the terms of the Eclipse Public License v1.0
* which accompanies this distribution, and is available at
* http://www.eclipse.org/legal/epl-v10.html
*/
package uk.ac.diamond.scisoft.analysis.peakfinding.peakfinders;
import org.eclipse.january.dataset.IDataset;
/**
* Method 2 in:
* "Simple Algorithm Peak Detection Time Series, Palshikar (Tata Research)"
*
* Compute the average of the signed differences of between a the point of
* interest and it's windowSize left and right neighbours. Take the average of
* these two averages.
*/
public class SumDifferenceAverage extends AbstractSignificanceFilter {
private final static String NAME = "Average Sum of Differences";
public SumDifferenceAverage() {
super();
//Change the windowSize default here.
}
@Override
protected void setName() {
this.name = NAME;
}
@Override
public double calculateSignificance(int position, int windowSize, IDataset yData) {
double posVal = yData.getDouble(position);
//Calculate the averages of the signed differences across the left &
//right windows. N.B. left & right diffs are in opposite directions.
Double leftAvg = 0.0;
Double rightAvg = 0.0;
for(int i = 0; i < windowSize; i++) {
leftAvg = leftAvg + (posVal - yData.getDouble(position-i-1));
rightAvg = rightAvg + (posVal - yData.getDouble(position+i+1));
}
leftAvg = leftAvg / windowSize;
rightAvg = rightAvg / windowSize;
//Calculate the average of the averages of the differences (i.e. significance)
double sig = (leftAvg + rightAvg)/2;
return sig;
}
}