What are the limitations imposed by information theory on lossless compression?

Jan 1, 2013 ... ALACRITY: Analytics-Driven Lossless Data Compression for Rapid In-Situ Indexing, Storing, and Querying. In: Transactions on Large-Scale Data- ... May 31, 2023 ... Cutting-edge techniques focus on lossy approaches, which achieve compression by intentionally “losing” information from a transmission. Aug 21, 2021 ... Source code: https://gist.github.com/syphh/215f24b298e939b51b6238688ccfa3af Learn graph theory algorithms: https://inscod.com/graphalgo ... May 24, 2017 ... This monograph surveys the use of these techniques for the rigorous analysis of code redundancy for known sources in lossless data compression. May 21, 2024 ... The following topics were dealt with: technologies and standards; technology drivers; lossless data compression; telemetry channel coding; ... The algorithm, which compresses data in segments, was devised by mathematician and financial expert Nicholas Stavrinou, now CEO of SISP Technologies. He shared ... Jan 11, 2024 ... In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. Dec 14, 2020 ... Yes, it is. There are things called “universal” codes designed just for this situation. A very common lossless universal code is the Lempel Ziv ... Nov 4, 2021 ... This report provides a broad tutorial overview of the CCSDS Lossless Data. Compression algorithm and is aimed at helping first-time readers to ... Nov 8, 2024 ... The newly developed lossless data compression technology, drawing on Hitachi's expertise in areas such as deep learning models and data storage, ...