How can lossless compression be used in the storage and analysis of sensor data?

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. paring data compression algorithms. To this end, we describe three existing cor- pora for examining universal lossless data compression algorithms. The argu ... Description. Data compression using neural networks. DeepZip: Lossless Data Compression using Recurrent Neural Networks. Requirements. GPU, nvidia-docker (or ... ... 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 ... Sep 19, 2019 ... Lossless compression for high-dimensional data · choosing a statistical model that closely captures the underlying distribution of the input data ... Nov 1, 2017 ... Abstract. The performance of lossless data compression depends mainly on compression rate and compression time. The compression time of ... This paper provides the study of various lossless data compression techniques and compares their performance and efficiency using time and space complexity. 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 ... Jan 11, 2024 ... In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. 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 ...