How does the choice of compression method affect the quality and size of the decompressed data?

Olymp Engineering, LLC LossLess Data Compression supports lossless signal compression and decompression. 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 ... Oct 31, 2012 ... M. Burrows and D. J. Wheeler, “A Block-Sorting Lossless Data Compression Algorithm,” Systems Research Center, Vol. 22, No. 5, 1994. 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 ... We present a method for radical linear compression of data sets where the data are dependent on some number M of parameters. 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 ... 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 ... 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 ... Aug 5, 2016 ... gzip and xz uses two different algorithms, and therefore they perform differently, both in terms of what level of compression they achieve ... Recently [6, 7, 8] came up with a universal lossless data compression algo- rithm based on irregular low-density parity-check codes which has linear encoding.