Title: The basic principles of increasing in efficiency of data compressing in information-measuring systems

Authors: En Un Chye; Alexey Viktorovitch Levenets; Viktor Eduardovich Ivanov

Addresses: Automation and System Engineering Department, Pacific National University, 680035 Tihookeanskaya str. 136, Khabarovsk, Russia ' Automation and System Engineering Department, Pacific National University, 680035 Tihookeanskaya str. 136, Khabarovsk, Russia ' Automation and System Engineering Department, Pacific National University, 680035 Tihookeanskaya str. 136, Khabarovsk, Russia

Abstract: This article gives a brief analysis of theoretical works in the field of the theory of information-measuring systems with data compression. It is shown that when developing the problems of compression of measurement data, digital methods are practically not considered. A critical analysis of the methods of compression of measurement data is carried out. The limitations of the modern approach to data compression are shown. A model of a compression subsystem for measuring data is proposed that allows describing the compression and recovery subsystems that implement the proposed basic principles of working with measurement data. Some of the principles that allow developing effective methods for compressing measurement data are proposed.

Keywords: measurement data; data compressing; informational-measurement system; IMS; compression subsystem model.

DOI: 10.1504/IJETP.2019.098964

International Journal of Energy Technology and Policy, 2019 Vol.15 No.2/3, pp.194 - 207

Available online: 04 Mar 2019 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article