Difference between revisions of "Bin Smoothing"

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m (added code)
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<pre>Math.pow(0.5, Math.abs(index - count))</pre>
 
<pre>Math.pow(0.5, Math.abs(index - count))</pre>
 
This does a 50% decrease.
 
This does a 50% decrease.
 +
 
<pre>Math.pow(0.1, Math.abs(index - count))</pre>
 
<pre>Math.pow(0.1, Math.abs(index - count))</pre>
 
This does a 90% decrease
 
This does a 90% decrease
 +
 +
<pre>1.0/(double)(1 + (index - count)*(index - count))

Revision as of 20:50, 8 June 2009

This article is a stub. You can help RoboWiki by expanding it.

Bin Smoothing is the process of spreading or normalizing the values stored in a Bin for WaveSurfing or Segmentation. It's not needed for WaveSurfing or Segmentation, but can, in theory, improve performance if done right.

How Bin Smoothing Works

Bin Smoothing 'flattens' small spikes within it's Bins.

Bin Smoothing Formulas

If you have your own Bin Smoothing Formula, feel free to post it here.

Pugilist

    double smoothedVisits(int index) {
	double smoothed = 0;
	int i = 0;
	do {
	    smoothed += (double)visits[i] / Math.sqrt((double)(Math.abs(index - i) + 1.0));
	    i++;
	} while (i < Pugilist.FACTORS);
	return smoothed / Math.pow(distanceToTarget() / bulletVelocity, 1.3);
    }

PPP

double smoothedVisits(int index) {
    double smoothed = 0;
    if (index > 0) {
        smoothed += visits[index - 1] / 2;
    }
    if (index < FACTORS - 1) {
        smoothed += visits[index + 1] / 2;
    }
    smoothed += visits[index];
    return smoothed;
}

Other Ways

Math.pow(0.5, Math.abs(index - count))

This does a 50% decrease.

Math.pow(0.1, Math.abs(index - count))

This does a 90% decrease

1.0/(double)(1 + (index - count)*(index - count))