How are probability models used in lossless compression algorithms?

Olymp Engineering, LLC LossLess Data Compression supports lossless signal compression and decompression. News. LZO 2.10 has been released; a small update that fixes various build issues. Key Facts. LZO is a portable lossless data compression library written in ... Jan 1, 2013 ... ALACRITY: Analytics-Driven Lossless Data Compression for Rapid In-Situ Indexing, Storing, and Querying. In: Transactions on Large-Scale Data- ... Sep 25, 2019 ... In this paper, we propose a Transformer based lossless compression method that match the best compression ratio for text. Our approach is purely ... ... compression method associated with a lossless data compression algorithm for use with TLS. Standardization of the compressed data formats and compression ... 1. General-purpose lossless compression. The old compressors: zip/gzip, bzip2, lzma are still widely used. We have new compressors: lz4, zstd and brotli but ... Nov 1, 2017 ... Abstract. The performance of lossless data compression depends mainly on compression rate and compression time. The compression time of ... Jan 17, 2025 ... Sharp bounds are derived for the best achievable compression rate of memoryless sources, when the excess-rate probability is required to be exponentially small ... Lossless compression techniques, as their name implies, involve no loss of information. If data have been losslessly compressed, the original data can be ... I am an expert in the area of hardware lossless data compression, signal processing with embedded systems (e.g. ARM), video... Keywords: reconfigurable ...