Proceedings of the European Design Automation Conference, 1990., EDAC.
DOI: 10.1109/edac.1990.136708
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A new method for the state reduction of incompletely specified finite sequential machines

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Cited by 8 publications
(4 citation statements)
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“…For large size FSM's, the method requires excessive computing time. Avedillo et al [2] derived a reduced FSM by applying a sequence of transformations to internal states in a given FSM. Kannan and Sarma [20] proposed a simple heuristic algorithm to find a minimal closed cover.…”
Section: Previous Workmentioning
confidence: 99%
See 1 more Smart Citation
“…For large size FSM's, the method requires excessive computing time. Avedillo et al [2] derived a reduced FSM by applying a sequence of transformations to internal states in a given FSM. Kannan and Sarma [20] proposed a simple heuristic algorithm to find a minimal closed cover.…”
Section: Previous Workmentioning
confidence: 99%
“…A minimal solution obtained in such a case may not be unique [ 131. This problem has been studied for many years [ 121, [ 131, [27], [3 1 I. In recent years, because of the development of automated FSM synthesis systems [ l l , [9], [lo], [28], there has been a renewed interest in this problem [2], [ 171, 1201, W I , W I . In this paper, we present a new algorithm for the state minimization problem. This algorithm constructs a search tree from prime compatibles.…”
Section: Introduction He Removal Of Redundant States Is Important Tomentioning
confidence: 99%
“…So an interesting objective is developing state-reduction algorithms which simultaneously identify and select compatibles for the closed cover, and comparing them with existing approaches. We have developed a state-reduction algorithm, Reduces [20], using a constructive heuristic based on maximal…”
Section: Heuristic Minimisation Approaches: Previousmentioning
confidence: 99%
“…Yamamoto [10] presented a method for obtaining a minimum form of a given ISSM by application of a directed tree graph. Avedillo et al [11] proposed heuristic algorithm to build a closed covering for a given state table selecting maximal compatibles one by one until both covering and closure requirements are satisfied. Nearminimal solutions are thus incrementally generated.…”
Section: Introductionmentioning
confidence: 99%