Pattern Detection Approach To Boolean Function Classification

Mustapha, Muhazam (2004) Pattern Detection Approach To Boolean Function Classification. Masters thesis, Multimedia University.

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Abstract

This research is a study on Boolean functions classification by using pattern detector matrices corresponding to various classes of Boolean functions. Boolean functions are represented as a sequence of integers as a row vector, called Boolean block, which is a one to one mapping of 1-s and 0-s from the function's truth table. By this representation we study the binary pattern possessed by various classes of Boolean function.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 05 Jul 2010 07:23
Last Modified: 05 Jul 2010 07:23
URI: http://shdl.mmu.edu.my/id/eprint/739

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