An Application of Autocorrelation Functions to Find Linear Decompositions for Incompletely Specified Index Generation Functions
Tsutomu Sasao · 2013
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.