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Обнаружение ложных путей в последовательностных схемах

Обнаружение ложных путей в последовательностных схемах

Abstract

Предлагается метод поиска ложных путей в схемах с памятью. В отличие от эвристических подходов, развиваемых зарубежными исследователями, разработан точный метод, основанный на использовании операций над ROBDD-графами, построенными по фрагментам комбинационной составляющей схемы с памятью. Метод позволяет выявить ложные пути в рамках ограничений на длину установочной последовательности и не требует построения комбинационных эквивалентов заданной длины. Обсуждаются возможности распространения предлагаемого подхода на схемы большей размерности.

Related Organizations
Keywords

последовательностные схемы, ROBDD-графы, ложные пути, эквивалентная нормальная форма

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green