Abstract
One of the modern trends in the development of information technology is that the technical capabilities of information and measurement systems (IMS) are widely used in all areas. Due to the capabilities of modern technologies, there is a need to improve communication networks and improve the quality of their bandwidth, as well as to compress data in the IMS due to the fact that the amount of information is transmitted through communication networks. Various methods of compressing the amount of information in the storage, processing and transmission of large arrays of information in communication channels are considered. Highly informative data compression is effectively performed in telemetry measurement systems. For example, in spacecraft and satellite systems, the bandwidth of the communication channel is minimized by using various compression methods in collecting data and transmitting them to the control station. This is an innovative scientific direction that allows you to collect, measure and transfer various parameters to remote devices. Compression methods focus on separate data processing in different data sources. Open or hidden information connections are increasingly interconnected in ways that can increase data compression capabilities. Strengthens the implementation of compression methods for data obtained from complex measurement parameters at the design stage of IMS. Thus, the consideration of methods for measuring, processing and compressing data is an urgent task. The article reflects the results of research on data compression methods.