What are the considerations for compressing and decompressing data at different stages of its lifecycle?

I am an expert in the area of hardware lossless data compression, signal processing with embedded systems (e.g. ARM), video... Keywords: reconfigurable ... Nov 14, 2005 ... These two functions (DZIP and DUNZIP) losslessly compress or decompress MATLAB variables of most data types so that they occupy less space. ... lossless data compression algorithm, making use of the CUDA framework at the second-level sink node is presented. The core idea of PMLZSS algorithm is ... Oct 2, 2023 ... These graphs plot time vs. compressed size, allowing you to compare the various compression steps of lossless data compression algorithms. Lossless compression is a data compression method that allows the original data to be perfectly reconstructed from the compressed data. We present a novel method for lossless data compression that aims to get a different performance to those proposed in the last decades to tackle the ... Information theory is needed to understand the limits of compression and give clues on how to compress well. Lecture 5 - Statistical Lossless Data Compression. paring data compression algorithms. To this end, we describe three existing cor- pora for examining universal lossless data compression algorithms. The argu ... May 12, 2022 ... The compression algorithm and its implementation were designed to be device-agnostic. These developments can be used to create a variety of ... A compression algorithm designed for radio astronomy data is developed in this project. Real data from both ALMA and SKA projects is analyzed.