7 August 2017 Adaptive compression methods of data based on Fibonacci linear forms
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Volodymyr A. Luzhetsky, Volodymyr A. Luzhetsky, Liudmyla A. Savytska, Liudmyla A. Savytska, Tetiana I. Troianovska, Tetiana I. Troianovska, Zbigniew Omiotek, Zbigniew Omiotek, Aron Burlibay, Aron Burlibay, Miergul Kozhambardiyeva, Miergul Kozhambardiyeva, Gulzhan Kashaganova, 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); doi: 10.1117/12.2280944; https://doi.org/10.1117/12.2280944
PROCEEDINGS
10 PAGES


SHARE
RELATED CONTENT

Grid-based earthquake data sharing
Proceedings of SPIE (October 09 2009)
Efficient arithmetic coding for wavelet image compression
Proceedings of SPIE (January 10 1997)
Compression for reduction of off-chip video bandwidth
Proceedings of SPIE (December 20 2001)
Efficient global data model for the digital Earth
Proceedings of SPIE (November 14 2007)
Symbolic computation in system simulation and design
Proceedings of SPIE (June 07 1995)

Back to Top