What are some benchmark datasets used for evaluating lossless compression?

Lossless compression techniques, as their name implies, involve no loss of information. If data have been losslessly compressed, the original data can be ... ... Data Compression Competition (GDCC) is looking for students of engineering to raise the bar in lossless data compression and win cash prizes along the way ... The algorithms evaluated were Unix compress. (Cz), Gzip. (Gz), IPEG Arithmetic coding (Az) [7], and CCSDS lossless data compression. (Sz). They were tested on a ... This paper provides the study of various lossless data compression techniques and compares their performance and efficiency using time and space complexity. ... 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 ... We present a method for radical linear compression of data sets where the data are dependent on some number M of parameters. 3 days ago ... Lossless data compression is an essential technology that allows the compressed data to be perfectly reconstructed. It is indispensable for ... Aug 17, 2017 ... There is no doubt that data compression is very important in computer engineering. However, most lossless data compression and decompression ... This paper provides an Ontology-driven Data Cleaning mechanism, facilitating Lossless Healthcare Data Compression to efficiently compress healthcare data. Sep 19, 2019 ... Lossless compression for high-dimensional data · choosing a statistical model that closely captures the underlying distribution of the input data ...