MUSE: a multilevel symbolic encoding algorithm for state assignment
MUSE: a multilevel symbolic encoding algorithm for state assignment
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DOI:
10.1109/hicss.1990.205137
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发表时间:
1990-01
期刊:
影响因子:
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通讯作者:
X. Du;G. Hachtel;Bill Lin;A. Newton
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文献类型:
--
作者:
X. Du;G. Hachtel;Bill Lin;A. Newton
A state assignment algorithm called multiple symbolic encoding (MUSE) is presented for the encoding of finite state machines targeted for multilevel implementation. The computation of weights of state pairs is based on a multilevel representation of the 1-hot encoded state machine. Three types of state pairs-OR, COMPLEX, and MORE-COMPLEX-are defined in the context of multilevel representations of finite state machines. Thus, both Boolean and algebraic operations are used to calculate the weights of state pairs. Methods for computing present-state and next-state weight matrices are presented. The three pair weights are used to compute the present state terms, and MIS-like common cube extraction techniques are used to estimate the encoding affinity between each next-state pair.>