What is the relationship between randomness and compressibility?

May 21, 2024 ... The following topics were dealt with: technologies and standards; technology drivers; lossless data compression; telemetry channel coding; ... Lossless data compression of digital audio signals is useful when it is necessary to minimize the storage space or transmission bandwidth of audio data ... Arithmetic encoding (AE) is a lossless algorithm that uses a low number of bits to compress data. It's an entropy-based algorithm. This data compression pipeline is using algorithms like Burrows-Wheeler transform (BWT) and Move to front (MTF) to improve the Huffman compression. May 31, 2023 ... Cutting-edge techniques focus on lossy approaches, which achieve compression by intentionally “losing” information from a transmission. Recently [6, 7, 8] came up with a universal lossless data compression algo- rithm based on irregular low-density parity-check codes which has linear encoding. This paper provides an Ontology-driven Data Cleaning mechanism, facilitating Lossless Healthcare Data Compression to efficiently compress healthcare data. We present a method for radical linear compression of data sets where the data are dependent on some number M of parameters. May 24, 2017 ... This monograph surveys the use of these techniques for the rigorous analysis of code redundancy for known sources in lossless data compression. In this work, a run-time lossless compression of single-channel Electrocardiogram (ECG) and Photoplethysmogram (PPG) signals is proposed, maintaining all ...