Calculates the new value in a weighted moving average series using the previous value and a weight range. The weight range is used to dynamically adjust based upon distance between the samples This allows you to smooth a value more aggressively for small noise and let large movements be smoothed less (or vice versa)
Target is Kismet Math Library
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Current Sample
Vector
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The value to blend with the previous sample to get a new weighted value |
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Previous Sample
Vector
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The last value from the series |
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Max Distance
Float
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Distance to use as the blend between min weight or max weight |
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Min Weight
Float
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The weight use when the distance is small |
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Max Weight
Float
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The weight use when the distance is large |
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Return Value
Vector
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the next value in the series |