Optimal stack filters under rank selection and structural constraints
Signal Processing
Computational aspects of monotone dualization: A brief survey
Discrete Applied Mathematics
Aggregation Functions (Encyclopedia of Mathematics and its Applications)
Aggregation Functions (Encyclopedia of Mathematics and its Applications)
The many benefits of putting stack filters into disjunctive or conjunctive normal form
Discrete Applied Mathematics - Special issue: Boolean and pseudo-boolean funtions
Output distributions of stack filters based on mirrored thresholddecomposition
IEEE Transactions on Signal Processing
Stack filters, stack smoothers, and mirrored thresholddecomposition
IEEE Transactions on Signal Processing
On rank selection probabilities
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
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Many nonlinear filters used in practise are stack filters. An algorithm is presented which calculates the output distribution of an arbitrary stack filter S from the disjunctive normal form (DNF) of its underlying positive Boolean function (PBF). Our algorithm avoids to enumerate the models of the PBF one by one, and thus is considerably more efficient than previous methods. The so called rank selection probabilities can be computed along the way.