What is the role of quantization in data compression?

This paper focuses on the Adaptive Differential Pulse Code Modulation (ADPCM) that encodes a data stream into a constant bit length per data element. Description. Data compression using neural networks. DeepZip: Lossless Data Compression using Recurrent Neural Networks. Requirements. GPU, nvidia-docker (or ... Jan 1, 2013 ... ALACRITY: Analytics-Driven Lossless Data Compression for Rapid In-Situ Indexing, Storing, and Querying. In: Transactions on Large-Scale Data- ... 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 ... David Huffman gave a "best possible" algorithm for doing this. The algorithm for generating a Huffman tree is very simple and for the moment we will just ... This paper examines the performance of a set of lossless data compression algorithm, on different form of text data. A set of selected algorithms are. The study focuses on exploring lossless and lossy compression methods, their compression ratios, complexities, and suitability for diverse data types and ... Parallel Hardware/Software Architecture for the BWT and LZ77 Lossless Data Compression Algorithms. Virgilio Zuñiga Grajeda, Claudia Feregrino Uribe, Rene ... ... 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 ... For lossless data compression, the dictionary stores a set of strings that have been seen in the past and data is compressed by sending only indices of ...