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{"references": ["A. Hanumanthaiah, A. Gopinath, C. Arun, B. Hariharan and R. Murugan, \"Comparison of Lossless Data Compression Techniques in Low-Cost Low-Power (LCLP) IoT Systems,\" 2019 9th International Symposium on Embedded Computing and System Design (ISED), Kollam, India, 2019, pp. 1-5, doi: 10.1109/ISED48680.2019.9096229", "Gopinath, Athira, \u0456 M. Ravisankar. \"Comparison of Lossless Data Compression Techniques\". 2020 International Conference on Inventive Computation Technologies (ICICT), IEEE, 2020, \u0441. 628\u201333. DOI.org (Crossref), doi:10.1109/ICICT48043.2020.9112516", "Lazarowych \u0406.\u041c. \"Randomization \u2013 perspective direction of digital data processing development and constructing of special processors in computer systems\". Proc. of the International Conf. TCSET'2004., Lviv-Slavsko, Ukraine.-2004., P.403-404", "M. Kozlenko and M. Kuz, \"Joint capturing of readouts of household power supply meters,\" 2016 13th International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET), Lviv, Ukraine, 2016, pp. 755-757, doi: 10.1109/TCSET.2016.7452172", "John Edward Crosbie, Anoop Balakrishnan and others. \"System and method for adaptive compression\" Patent: US8949466B1, License USPTO TOS. 2015", "K. Hua, H. Wang, W. Wang and S. Wu, \"Adaptive Data Compression in Wireless Body Sensor Networks,\" 2010 13th IEEE International Conference on Computational Science and Engineering, Hong Kong, China, 2010, pp. 1-5, doi: 10.1109/CSE.2010.65", "S. Melnychuk, I. Lazarovych and M. Kozlenko, \"Optimization of entropy estimation computing algorithm for random signals in digital communication devices,\" 2018 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET), Slavske, 2018, pp. 1073-1077, doi: 10.1109/TCSET.2018.8336380"]}
I. Lazarovych, M. Kuz, M. Kozlenko, V. Tkachuk, and M. Dutchak, "The method of reducing data redundancy using a randomization procedure," in Proc. 5th International Scientific and Practical Conference on Applied Scientific and Technical Research, Academy of Technical Sciences of Ukraine, Ivano-Frankivsk, Ukraine, Apr. 5-7, 2021, pp. 40-42, doi: 10.5281/zenodo.5733149
This paper proposes a method for reducing data redundancy using a randomization procedure. The method can be effectively applied before transmitting or storing information in automation systems in various fields of communication systems and networks.
data redundancy, digital communications, randomization, data compression
data redundancy, digital communications, randomization, data compression
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