Work

Binary data compression using combinations of entropy and dictionary encoding algorithms

Year: 2025

Type: conference-paper

Abstract: Text data compression methods are explored.The advantages and disadvantages of different combinations of arithmetic and Huffman encoding as entropy methods and Snappy and LZ4 as dictionary methods are described.Methods of increasing efficiency of entropy compression methods are suggested.

DOI: 10.31110/colins/2025-2/013

Authors: Oleksii Turuta, Nataliia Golian, Vira Golian, Iryna Afanasieva, Kostiantyn Onyshchenko, Sviatoslav Mychka

Institution: Kharkiv National University of Radio Electronics

Language: English

Topic: Algorithms and Data Compression

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W7084051187

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