Дослідження алгоритмів оптимального кодування і стиснення даних

Abstract

File compression algorithms have long been integral to information theory, serving diverse purposes in data storage, transmission, and resource optimization. With the proliferation of the Internet, their significance has only heightened across various domains. This paper describes the research on compression algorithms, which employ increasingly sophisticated techniques to enhance compression efficiency across diverse data types. Specifically, this research aims to analyze and compare the behavior of prominent compression algorithms, including entropy encodings, dictionary methods, and context modelling, with respect to their effectiveness in compressing data types.