| Digital data collected in near real time typically contains erroneous values, or “noise”. As a result, this data must be conditioned so that “good” values may be obtained. Often this conditioning, or filtering, is an averaging process. In other instances, the data may be filtered using a weighting factor, or some other mathematical construct. Hardware based filters are often employed in special purpose devices, while in more general purpose applications the data is manipulated by software resulting in “software based filtering”.; In the Computer Integrated Manufacturing Laboratory at the University of Missouri-Rolla, an Integrated Hyper-Harmonic digital software filter has been developed. When dealing with data containing an extreme amount of noise, the Integrated Hyper-Harmonic filter returns a more accurate value than that returned by an averaging conditioner. In these situations, the Integrated Hyper-Harmonic filter also converges much more quickly than does an averaging conditioner.; This filter is currently in use in many applications in the Computer Integrated Manufacturing Laboratory, including laser range positioning applications, and accelerometer data conditioning applications. |
