public class TwoSpeedExponentialAverager
extends java.lang.Object
This class is almost identical to the simple exponential (decaying) average. For each input sample, the output is:
y[i] = x[i]*(1-alpha) + x[i-1]*alpha;
However, there are two values for alpha, a highAlpha and a lowAlpha. Which one gets used in the above formula
is based upon the following logic:
if referenceInput[ i ] < output[ i - 1 ], then lowAlpha is used
if referenceInput[ i ] > output[ i - 1 ], then highAlpha is used
Again, just like the simple ExponentialAverager this requires knowledge of the previous sample which makes a
problem for the very first data point. To get around this, we initialize the x[-1] point to the same value
as the x[0] point. After this, we simply keep a copy of the last sample.
- Author:
- Dave Flogeras