void AdaptivePaddedAverage::sample(float new_sample) {
// Compute new adaptive weighted average based on new sample.
AdaptiveWeightedAverage::sample(new_sample);
// Now update the deviation and the padded average.
float new_avg = average();
float new_dev = compute_adaptive_average(fabsd(new_sample - new_avg),
deviation());
set_deviation(new_dev);
set_padded_average(new_avg + padding() * new_dev);
_last_sample = new_sample;
}
void AdaptivePaddedAverage::sample(double new_sample) {
// Compute our parent classes sample information
AdaptiveWeightedAverage::sample(new_sample);
// Now compute the deviation and the new padded sample
float new_avg = average();
float new_dev = compute_adaptive_average(fabsd(new_sample - new_avg),
deviation());
set_deviation(new_dev);
set_padded_average(new_avg + padding() * new_dev);
_last_sample = new_sample;
}
void AdaptivePaddedNoZeroDevAverage::sample(float new_sample) {
// Compute our parent classes sample information
AdaptiveWeightedAverage::sample(new_sample);
float new_avg = average();
if (new_sample != 0) {
// We only create a new deviation if the sample is non-zero
float new_dev = compute_adaptive_average(fabsd(new_sample - new_avg),
deviation());
set_deviation(new_dev);
}
set_padded_average(new_avg + padding() * deviation());
_last_sample = new_sample;
}