Title :
An Application of Autocorrelation Functions to Find Linear Decompositions for Incompletely Specified Index Generation Functions
Author_Institution :
Dept. of Comput. Sci., Meiji Univ., Kawasaki, Japan
Abstract :
This paper shows that autocorrelation functions are useful to find the number of variables to represent incompletely specified index generation functions. It also shows a strategy to reduce the number of variables to represent incompletely specified index generation functions in the autocorrelation domain.
Keywords :
logic circuits; autocorrelation domain; autocorrelation functions; incompletely-specified index generation functions; linear decompositions; logic functions; Correlation; Indexes; Input variables; Logic functions; Minimization; Table lookup; Vectors; autocorrelation; decomposition; incompletely specified logic function; linear transformation; logic minimization;
Conference_Titel :
Multiple-Valued Logic (ISMVL), 2013 IEEE 43rd International Symposium on
Conference_Location :
Toyama
Print_ISBN :
978-1-4673-6067-8
Electronic_ISBN :
0195-623X
DOI :
10.1109/ISMVL.2013.12
