What are the challenges of implementing lossless compression in distributed environments?

Jul 16, 2024 ... Lossless compression reduces file size by removing unnecessary metadata without any discernible loss in picture quality. The original data can ... 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. Aug 17, 2017 ... There is no doubt that data compression is very important in computer engineering. However, most lossless data compression and decompression ... 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. Description. Data compression using neural networks. DeepZip: Lossless Data Compression using Recurrent Neural Networks. Requirements. GPU, nvidia-docker (or ... Nov 1, 2017 ... Abstract. The performance of lossless data compression depends mainly on compression rate and compression time. The compression time of ... ... Data Compression Competition (GDCC) is looking for students of engineering to raise the bar in lossless data compression and win cash prizes along the way ... Mar 2, 2018 ... This thesis makes several contributions to the field of data compression. Lossless data com- pression algorithms shorten the description of ... Aug 21, 2021 ... Source code: https://gist.github.com/syphh/215f24b298e939b51b6238688ccfa3af Learn graph theory algorithms: https://inscod.com/graphalgo ...