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Algorithmic Description of Adaptive Information-Measuring System with Data Compression

The increasing complexity of devices, industrial and scientific enterprises have ensured the constant growth of measurement information. When solving problems of control, regulation, forecasting and monitoring, it is necessary to obtain information about the set of parameters that characterize the object under study, which is carried out using multichannel information-measuring systems. This article proposes algorithmic description that allows you to rebuild the operation mode of a multichannel information-measuring system, depending on the input parameters. The proposed adaptive algorithm makes it possible to develop systems that reduce the amount of redundant information using time-division of channels.