Algorithms for Splitting Telemetric Data Frames into Strictly Homogeneous Areas for the Compression Problem

Problem statement: the telemetry data stream received from different sources of one complex telemetry object, presented in the difference-bit form, is characterized by high stationarity, and this, in turn, indicates that most of the bits in frames after the delta coding procedure will be zero. And also, bits of the same type should be located so that they form some geometric groups. Thus, the issue of developing effective algorithms for splitting the structure of telemetry frames into strictly homogeneous areas and their compact description is acute enough for effective compression of telemetry data. Purpose of the study: development of effective algorithms for splitting telemetry data frames into strictly homogeneous areas to improve the efficiency of telemetry data transmission in telemetry systems. Results: for all the proposed algorithms, the behavior of the averaged compression ratio was investigated depending on the properties of the streams of telemetric data frames. The experimental results presented show that the proposed algorithms provide a sufficiently high overall efficiency of compression of data frames of various types, and their further development can be associated with the optimization of the description of the areas obtained as a result of splitting.