Results 11 to 20 of about 22,970,744 (375)
Bicriteria data compression [PDF]
Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2013 The advent of massive datasets (and the consequent design of high-performing distributed storage systems) have reignited the interest of the scientific and engineering community towards the design of lossless data compressors which achieve effective compression ratio and very efficient decompression speed.
FARRUGGIA, ANDREA +3 more
openaire +11 more sources
Maxwell's demon and data compression [PDF]
Physical Review E, 2011 In an asymmetric Szilard engine model of Maxwell's demon, we show the equivalence between information theoretical and thermodynamic entropies when the demon erases information optimally. The work gain by the engine can be exactly canceled out by the work necessary to reset demon's memory after optimal data compression a la Shannon before the erasure.
Koji Maruyama +2 more
openaire +5 more sources
Biosignal Compression Toolbox for Digital Biomarker Discovery
Sensors, 2021 A critical challenge to using longitudinal wearable sensor biosignal data for healthcare applications and digital biomarker development is the exacerbation of the healthcare “data deluge,” leading to new data storage and organization challenges and costs.
Brinnae Bent +3 more
doaj +1 more source
Universal triple encoding for compression and protecting binary data
Безопасность информационных технологий, 2021 The paper is devoted to the actual problem of compression of processed and transmitted data, as well as of the data storage and protection. The analysis and features of data compression methods are presented.
Victor A. Shurygin, Igor M. Yadykin
doaj +1 more source
On the Randomness of Compressed Data [PDF]
2019 Data Compression Conference (DCC), 2019 It seems reasonable to expect from a good compression method that its output should not be further compressible, because it should behave essentially like random data. We investigate this premise for a variety of known lossless compression techniques, and find that, surprisingly, there is much variability in the randomness, depending on the chosen ...
Shmuel T. Klein, Dana Shapira
openaire +4 more sources
Data compression for sequencing data [PDF]
Algorithms for Molecular Biology, 2013 : Post-Sanger sequencing methods produce tons of data, and there is a general agreement that the challenge to store and process them must be addressed with data compression. In this review we first answer the question "why compression" in a quantitative manner. Then we also answer the questions "what" and "how", by sketching the fundamental compression
Sebastian Deorowicz, Szymon Grabowski
openaire +3 more sources
The Lossless Adaptive Binomial Data Compression Method
Applied Sciences, 2022 In this paper, we propose a new method for the binomial adaptive compression of binary sequences of finite length without loss of information. The advantage of the proposed binomial adaptive compression method compared with the binomial compression ...
Oleksiy Borysenko +4 more
doaj +1 more source
Efficient data compression in perception and perceptual memory.
Psychology Review, 2020 Efficient data compression is essential for capacity-limited systems, such as biological perception and perceptual memory. We hypothesize that the need for efficient compression shapes biological systems in many of the same ways that it shapes engineered
Christopher Bates, R. Jacobs
semanticscholar +1 more source
Non-linear Methods Predominant in Fetal Heart Rate Analysis: A Systematic Review
Frontiers in Medicine, 2021 The analysis of fetal heart rate variability has served as a scientific and diagnostic tool to quantify cardiac activity fluctuations, being good indicators of fetal well-being.
Maria Ribeiro +15 more
doaj +1 more source
Full-State Quantum Circuit Simulation by Using Data Compression [PDF]
International Conference for High Performance Computing, Networking, Storage and Analysis, 2019 Quantum circuit simulations are critical for evaluating quantum algorithms and machines. However, the number of state amplitudes required for full simulation increases exponentially with the number of qubits.
Xin-Chuan Wu +6 more
semanticscholar +1 more source