What is the role of probability in lossless compression?

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 is devoted to the study and comparison of some lossless data compression methods. First, we focus on two classical methods which are the Huffman and ... This data compression pipeline is using algorithms like Burrows-Wheeler transform (BWT) and Move to front (MTF) to improve the Huffman compression. Parallel Hardware/Software Architecture for the BWT and LZ77 Lossless Data Compression Algorithms. Virgilio Zuñiga Grajeda, Claudia Feregrino Uribe, Rene ... On the Energy Efficiency of Lossless Data Compression in Wireless Sensor Networks. In: Proceedings of the Fourth IEEE International Workshop on Practical ... Lossless compression algorithms allow you to reduce your file size without sacrificing any of the original data in the process. You're generally able to restore ... Oct 20, 2021 ... The focus of this chapter is a fast lossless data-compression mechanism that handles data streams completely. Nov 7, 2023 ... We propose a hardware-accelerated lossless data compression system to reduce traffic storage overhead. ... lossless data compression.) [P3] E.-H. Yang and D.-K. He, “Method for lossless data compression using greedy se- quential context-dependent grammar ... Lossless compression uses an algorithm to shrink the image without losing any important data. Essentially, it rewrites the file to make it more efficient - ...