Title :
Can the zero-lag filter be a good smoother?
fDate :
7/1/1977 12:00:00 AM
Abstract :
The problem of constructing low complexity suboptimal fixed-lag estimators is discussed. First, it is shown that any optimal fixed-lag estimator structure generally performs better if more delay is accepted than the designed lag. As this holds for any design lag including zero-lag, it is demonstrated that the zero-lag filter treated as a suboptimal fixed-lag smoother has an error considerably lower than the conventional zero-lag error. A near optimal fixed-lag smoother is then found by a straightforward extention of the zero-lag filter. Several examples are considered. Finally, the usefulness of the conventional fixed-lag mmse criterion is discussed.
Keywords :
Smoothing methods; Added delay; Delay estimation; Delay lines; Filtering theory; History; Information filtering; Information theory; Kalman filters; Smoothing methods; Stability;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.1977.1055729