What are some emerging trends that are likely to shape the future of lossless data compression?

Apr 5, 2015 ... Huffman coding compresses data by creating an encoding scheme that is optimal in the sense that no other encoding scheme can achieve a better compression rate ... Description. Data compression using neural networks. DeepZip: Lossless Data Compression using Recurrent Neural Networks. Requirements. GPU, nvidia-docker (or ... In this paper, we present an adaptive lossless data compression (ALDC) algorithm for wireless sensor networks. Our proposed ALDC scheme performs compression ... ... data exchanged between wireless sensor nodes ... compression algorithm in comparison with other recently proposed lossless compression algorithms for WSNs. The algorithm, which compresses data in segments, was devised by mathematician and financial expert Nicholas Stavrinou, now CEO of SISP Technologies. He shared ... 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 ... 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 ... Jan 1, 2013 ... ALACRITY: Analytics-Driven Lossless Data Compression for Rapid In-Situ Indexing, Storing, and Querying. In: Transactions on Large-Scale Data- ... Parallel Hardware/Software Architecture for the BWT and LZ77 Lossless Data Compression Algorithms. Virgilio Zuñiga Grajeda, Claudia Feregrino Uribe, Rene ... May 10, 1994 ... We describe a block-sorting, lossless data compression algorithm, and our imple- mentation of that algorithm. We compare the performance of ...