How does lossless compression improve the efficiency of network communication?

Genomic data compression technology from Enancio, now known as DRAGEN ORA (original read archive) compression, offers optimal levels of speed and efficiency, ... This data compression pipeline is using algorithms like Burrows-Wheeler transform (BWT) and Move to front (MTF) to improve the Huffman compression. Apr 6, 2019 ... Software for more efficient lossless compression with deep LSTM and Transformer neural networks. Any of these projects, on its own, would be considered a ... In this work, a run-time lossless compression of single-channel Electrocardiogram (ECG) and Photoplethysmogram (PPG) signals is proposed, maintaining all ... 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. 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. May 24, 2017 ... This monograph surveys the use of these techniques for the rigorous analysis of code redundancy for known sources in lossless data compression. NNCP is an experiment to build a practical lossless data compressor with neural networks. The latest version uses a Transformer model. The papers nncp_v2.1.pdf ... ... lossless data compression.) [P3] E.-H. Yang and D.-K. He, “Method for lossless data compression using greedy se- quential context-dependent grammar ...