Abstract: The realization of the $alpha@-trimmed mean filter on the threshold decomposition architecture is described in this paper. In the threshold decomposition architecture, an input sequence is thresholded at different levels to form a number of binary sequences. A decision is made at each level to determine whether the signal should be above the associated threshold level. The results at all levels are then combined to form the filter output. The decision rule used is the distinguishing feature of an individual filter; the current implementation of the $alpha@-trimmed mean filter is based on using a threshold logic function as the decision rule, thus allowing the decision rule to output multiple values. The statistical properties of the $alpha@-trimmed mean filter are analyzed based on this realization. !9
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