Coding methods for parallel-hierarchical transformation of optical information

Leonid Tymchenko; Natalia Kokriatska; Volodymyr Tverdomed; Sergii Pavlov; Natalia Sachaniuk-Kavets’ka; Liudmyla Semenova; Roman Akselrod; Olha Riabokon; Piotr Kisała; Ainur Ormanbekova

doi:10.1117/12.2660650

12 December 2022 Coding methods for parallel-hierarchical transformation of optical information

Leonid Tymchenko, Natalia Kokriatska, Volodymyr Tverdomed, Sergii Pavlov, Natalia Sachaniuk-Kavets’ka, Liudmyla Semenova, Roman Akselrod, Olha Riabokon, Piotr Kisała, Ainur Ormanbekova

Author Affiliations +

Proceedings Volume 12476, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022; 124760T (2022) https://doi.org/10.1117/12.2660650
Event: Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022, 2022, Lublin, Poland

Abstract

Basic coding methods for data compression in optical transmission are considered. A parallel-hierarchical transformation is proposed as a means of addressing the shortcomings of the methods considered. Pyramid-linear and pyramid-nonlinear coding at the functional level are given. The corresponding number of elements in the masks was calculated. The efficiency of the developed method compared to known methods was analyzed. The compression ratio and data compression conditions were determined.

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Leonid Tymchenko, Natalia Kokriatska, Volodymyr Tverdomed, Sergii Pavlov, Natalia Sachaniuk-Kavets’ka, Liudmyla Semenova, Roman Akselrod, Olha Riabokon, Piotr Kisała, and Ainur Ormanbekova "Coding methods for parallel-hierarchical transformation of optical information", Proc. SPIE 12476, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2022, 124760T (12 December 2022); https://doi.org/10.1117/12.2660650

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KEYWORDS

Photonic integrated circuits

Data compression

Associative arrays

Statistical analysis

Computer programming

Data modeling

Data processing

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