Detection of Homogeneous Sequences of Measurement Data Samples as Preprocessing Procedure Before Data Compression

The paper proposes a method for assessing the homogeneity of a sequence of digital samples of measurement data. This method is necessary to search for homogeneous structures in a data set obtained from different sources of information. The procedure for identifying such structures is preprocessing of data before applying data compression algorithms and improves the efficiency of such algorithms. The proposed method is not demanding in terms of computational costs and is more suitable for the problem under consideration than calculating the classical autocorrelation function.