Representation of Incompletely Specified Binary and Multiple-Valued Logic Functions by Compact Decision Diagrams
Incompletely specified logic functions are often met in computer science and engineering and their compact representations are a subject of a wide research interest. In this paper, we present a method for determining an assignment of unspecified function values that will produce compact decision dia...
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Published in | 2012 IEEE 42nd International Symposium on Multiple-Valued Logic pp. 142 - 147 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.05.2012
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Subjects | |
Online Access | Get full text |
ISBN | 9781467309080 1467309087 |
ISSN | 0195-623X |
DOI | 10.1109/ISMVL.2012.38 |
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Abstract | Incompletely specified logic functions are often met in computer science and engineering and their compact representations are a subject of a wide research interest. In this paper, we present a method for determining an assignment of unspecified function values that will produce compact decision diagrams. The method is based on the analysis of Walsh and Vilenkin-Chrestenson spectral coefficients for binary and multiple-valued functions, respectively, and the operation of spectral translation of logic functions. Spectral transforms are used to identify the linear function with strongest correlation with the initial function and assign the unspecified values as well as to specify the spectral translation that will result in a compact decision diagram. |
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AbstractList | Incompletely specified logic functions are often met in computer science and engineering and their compact representations are a subject of a wide research interest. In this paper, we present a method for determining an assignment of unspecified function values that will produce compact decision diagrams. The method is based on the analysis of Walsh and Vilenkin-Chrestenson spectral coefficients for binary and multiple-valued functions, respectively, and the operation of spectral translation of logic functions. Spectral transforms are used to identify the linear function with strongest correlation with the initial function and assign the unspecified values as well as to specify the spectral translation that will result in a compact decision diagram. |
Author | Stankovic, R. S. Stojkovic, S. Stankovic, M. |
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SubjectTerms | compact represetation Correlation Data structures Decision diagrams Encoding Incompletely specified logic functions Logic functions Transforms Vectors |
Title | Representation of Incompletely Specified Binary and Multiple-Valued Logic Functions by Compact Decision Diagrams |
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