Abstract
In this paper, a novel design technique for adaptive stack filters is proposed. The Boolean function of the proposed filters is selected by the controller based on pattern classification. This controller associates an input vector with some cluster according to its pattern and selects the Boolean function corresponding to the cluster. The Boolean functions used in this technique are adjusted by using the adaptive least mean absolute (ALMA) algorithm. As inputs of this controller, both binary and multilevel signals are considered. Finally, a simulation example is given to illustrate the utility of the proposed technique. © 1999 Scripta Technica, Electron Comm Jpn Pt 3, 82(4): 38–47, 1999
Published Version
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