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When are two weighted-order statistic filters identical?

机译:什么时候两个加权统计过滤器相同?

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Abstract: There is a finite number of different weighted order statistic (WOS) filters of a fixed length N. However, even for relatively small values of N, one cannot immediately see if two given WOS filters are the same by simply looking at the weights and the thresholds. This problem is addressed in this paper. We define two WOS filters to be equivalent (the same) if they produce the same output for arbitrary inputs. We shall show that the solution requires the use of integer linear programming and next develop a hierarchical heuristical procedure which may provide a much quicker solution to the given problem. The hierarchy starts with simple checks and proceeds to more and more complicated tests. The procedure is exited as soon as a definite conclusion is reached. !6
机译:摘要:存在固定长度N的有限数量的不同加权阶数统计(WOS)过滤器。但是,即使N的值相对较小,也无法通过简单地查看权重立即看到两个给定的WOS过滤器是否相同和阈值。本文解决了这个问题。如果两个WOS过滤器为任意输入产生相同的输出,则将它们定义为等效(相同)。我们将证明,该解决方案需要使用整数线性规划,然后开发一种分层的启发式方法,该方法可以为给定的问题提供更快的解决方案。层次结构从简单的检查开始,然后进行越来越复杂的测试。得出确定的结论后立即退出该程序。 !6

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