How does prediction play a role in some lossless compression techniques?

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 ... The study focuses on exploring lossless and lossy compression methods, their compression ratios, complexities, and suitability for diverse data types and ... Nov 7, 2023 ... We propose a hardware-accelerated lossless data compression system to reduce traffic storage overhead. Lossless compression is a data compression method that allows the original data to be perfectly reconstructed from the compressed data. We have proposed a high performance lossless data compression algorithm for stream-based entropy coding, called ASE coding. It is suitable for hardware ... Lossless data compression of digital audio signals is useful when it is necessary to minimize the storage space or transmission bandwidth of audio data ... 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 ... Nov 20, 2018 ... We combine recurrent neural network predictors with an arithmetic coder and losslessly compress a variety of synthetic, text and genomic datasets. This work presents a comparative analysis of data compression algorithms tailored for WSNs. It studies and enhances two adaptive lossless data compression ... Oct 2, 2023 ... These graphs plot time vs. compressed size, allowing you to compare the various compression steps of lossless data compression algorithms.