Abstract
Bit space representation of measurement data is considered. A method and its associated algorithm for reversible geometric compression of measurement data frames are proposed. The algorithm is based on the conversion of a data frame into bit form with subsequent mapping onto a plane and partition into strictly homogeneous regions. Experimental results are presented showing that the proposed algorithm provides high overall compression efficiency..
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References
E. U. Chye, A. V. Levenets, and R. E. Tokarev, “Application of Popular Image Compression Algorithms to Compression of Measurement Data,” Vestn. TOGU 27 (4), 125–132 (2012).
E. A. Lomtev, M. G. Myasnikova, N. V. Myasnikova, and B. V. Tsypin, “Improvement of Signal Compression-Restoration Algorithms for Remote Measurement Systems,” Izmerit. Tekhnika, No. 3, 11–15 (2015).
V. A. Pobedonostsev, Determination of the Amount of Information about Continuous Signals: Elementary Theory (Radiotekhnika, Moscow, 2017) [in Russian].
A. V. Bevetsky and A. V. Levenets, “Algorithm of Block Compression of Measurement Data,” Uchenye Zapiski TOGU 4 (4), 811–818 (2013).
V. K. Trofimov and T. V. Khramova, “Optimal Output-Uniform Coding for a Union of Different Sets of Sources,” Avtometriya 53 (1), 53–62 (2017) [Optoelectron., Instrum. Data Process. 53 (1), 43–50 (2017)].
R. Bose, “Combined Data Encryption and Compression Using Chaos Functions,” Proc. SPIE 5561, 164–175 (2004).
E. J. Candes, M. B. Wakin, “An Introduction to Compressive Sampling,” IEEE Signal Process. Mag. 25 (2), 21–30 (2008).
M. F. Duarte, G. Shen, A. Ortega, and R. G. Baraniuk, “Signal Compression in Wireless Sensor Networks,” Philos. Trans. Royal Soc. A 370 (1958), 118–135 (2012).
H. Bormin, H.-L. Huang, H. Chen, et al., “Data Compression Studies for NOAA Hyperspectral Environmental Suite (HES) Using 3D Integer Wavelet Transforms with 3D Set Partitioning in Hierarchical Trees,” Proc. SPIE 5238, 255–265 (2004).
D. Salomon, Data Compression (Springer, New York, 2004).
V. A. Vittikh and A. M. Zvezdnyi, “Statement of the Problem of Compression of Measuring Information and Characteristics of Compressors of Information,” Avtometriya, No. 1, 13–18 (1968).
I. V. Bogachev, E. U. Chye, and A. V. Levenets, “Statistical Analysis of Telemetric Data from the Point of View of the Compression Problem,” Informatsionno-Upravlyayushchie Sistemy 86 (1), 11–16 (2017).
A. V. Nazarov, G. I. Kozyrev, I. V. Shitov, et al., Modern Telemetry in Theory and Practice (Nauka i Tekhnika, St. Petersburg, 2007) [in Russian].
A. V. Levenets, “Classification of Telemechanical Data and Their Difference Series from the Point of View of the Compression Problem,” Vestn. TOGU 15 (4), 71–80 (2009).
I. V. Bogachev, E. U. Chye, and A. V. Levenets, “Geometric Approach to Compression of Telemetry Data,” Informatika i Sistemy Upravleniya 46 (4), 16–22 (2015).
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Original Russian Text © I.V. Bogachev, A.V. Levenets, E.U. Chye, 2018, published in Avtometriya, 2018, Vol. 54, No. 3, pp. 54–60.
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Bogachev, I.V., Levenets, A.V. & Chye, E.U. Method of Reversible Compression of Frames of Measurement Data Based on Parquet Partition. Optoelectron.Instrument.Proc. 54, 256–261 (2018). https://doi.org/10.3103/S875669901803007X
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DOI: https://doi.org/10.3103/S875669901803007X