How is lossless compression used in scientific data storage?

Dec 21, 2005 ... Until recently the state of the art in lossless data compression was prediction by partial match (PPM). A. PPM model estimates the next-symbol ... ... lossless data compression.) [P3] E.-H. Yang and D.-K. He, “Method for lossless data compression using greedy se- quential context-dependent grammar ... Lossless compression is a data compression method that allows the original data to be perfectly reconstructed from the compressed data. Aug 3, 2020 ... This Recommended Standard establishes a common framework and provides a common basis for a Lossless data compression algorithm applicable to ... Nov 20, 2018 ... We combine recurrent neural network predictors with an arithmetic coder and losslessly compress a variety of synthetic, text and genomic datasets. Information theory is needed to understand the limits of compression and give clues on how to compress well. Lecture 5 - Statistical Lossless Data Compression. Lossless compression techniques, as their name implies, involve no loss of information. If data have been losslessly compressed, the original data can be ... Jan 1, 2013 ... ALACRITY: Analytics-Driven Lossless Data Compression for Rapid In-Situ Indexing, Storing, and Querying. In: Transactions on Large-Scale Data- ... 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, ... New LZ4 & Snappy IP Core from CAST Enables Fast Lossless Data Decompression. This first LZ4/Snappy IP core ASIC or FPGA hardware engine offloads a system's CPU ...