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First thoughts on determining a method for fast autocorrelation classification

Authors :
J.E. Rice
Source :
PACRIM. 2005 IEEE Pacific Rim Conference on Communications, Computers and signal Processing, 2005..
Publication Year :
2005
Publisher :
IEEE, 2005.

Abstract

Classification of Boolean functions is a useful tool; it greatly reduces the 2/sup 2n/ Boolean functions to a much more feasible number. Recent work has suggested the use of the autocorrelation transform to generate coefficients that may be used as a classification tool for Boolean functions. An outstanding question, however, is how to quickly identify whether or not two given functions are in the same class, given that generating the 2/sup n/-sized spectrum may not always be feasible. This work addresses this question, and presents some preliminary heuristics that are analyzed for their suitability in solving this problem.

Details

Database :
OpenAIRE
Journal :
PACRIM. 2005 IEEE Pacific Rim Conference on Communications, Computers and signal Processing, 2005.
Accession number :
edsair.doi...........48762624214c00642c86053235ca1dd0