Adaptive compression methods of data based on Fibonacci linear forms

Volodymyr A. Luzhetsky; Liudmyla A. Savytska; Tetiana I. Troianovska; Zbigniew Omiotek; Aron Burlibay; Miergul Kozhambardiyeva; Gulzhan Kashaganova

doi:10.1117/12.2280944

7 August 2017 Adaptive compression methods of data based on Fibonacci linear forms

Volodymyr A. Luzhetsky, Liudmyla A. Savytska, Tetiana I. Troianovska, Zbigniew Omiotek, Aron Burlibay, Miergul Kozhambardiyeva, Gulzhan Kashaganova

Author Affiliations +

Proceedings Volume 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017; 1044524 (2017) https://doi.org/10.1117/12.2280944
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2017, 2017, Wilga, Poland

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.

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Volodymyr A. Luzhetsky, Liudmyla A. Savytska, Tetiana I. Troianovska, Zbigniew Omiotek, Aron Burlibay, Miergul Kozhambardiyeva, and Gulzhan Kashaganova "Adaptive compression methods of data based on Fibonacci linear forms", Proc. SPIE 10445, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2017, 1044524 (7 August 2017); https://doi.org/10.1117/12.2280944

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