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Adaptive compression methods of data based on Fibonacci linear forms
Author(s): Volodymyr A. Luzhetsky; Liudmyla A. Savytska; Tetiana I. Troianovska; Zbigniew Omiotek; Aron Burlibay; Miergul Kozhambardiyeva; Gulzhan Kashaganova
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Paper Abstract

A generalized model of adaptive compression of data is presented. The peculiarities of numerical model forming of data source are considered. Three methods of adaptive compression of data based on the Fibonacci linear form involving the use of a set of numerical models of data source are suggested and studied.

Paper Details

Date Published: 7 August 2017
PDF: 10 pages
Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 1044524 (7 August 2017); doi: 10.1117/12.2280944
Show Author Affiliations
Volodymyr A. Luzhetsky, Vinnytsia National Technical Univ. (Ukraine)
Liudmyla A. Savytska, Vinnytsia National Technical Univ. (Ukraine)
Tetiana I. Troianovska, Vinnytsia National Technical Univ. (Ukraine)
Zbigniew Omiotek, Lublin Univ. of Technology (Poland)
Aron Burlibay, Kazakh Univ. of Railways and Communications (Kazakhstan)
Miergul Kozhambardiyeva, Almaty Technological Univ. (Kazakhstan)
Gulzhan Kashaganova, Kazakh-American Univ. (Kazakhstan)


Published in SPIE Proceedings Vol. 10445:
Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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