Application of Boolean Algebra Methods to the Problem of Measurement Data Compression

Abstract

The article describes an approach to reversible compression of measurement data frames. It is based on the representation of the bit-difference type of frames as a truth table of some logical function of several variables, with its subsequent minimization. Based on this approach, a reversible compression algorithm has been developed that allows one to switch from direct data compression to encoding the minimal disjunctive normal form obtained in the process of minimization using adaptive prefix coding. The efficiency of the algorithm was studied on data obtained from a number of energy facilities in the Far East. Which showed that this approach to reversible data compression turned out to be quite effective, regardless of their statistical properties and, in particular, stationarity.