Results 21 to 30 of about 22,970,744 (375)
Toward Bayesian Data Compression [PDF]
Annalen der Physik, 2021 AbstractIn order to handle large datasets omnipresent in modern science, efficient compression algorithms are necessary. Here, a Bayesian data compression (BDC) algorithm that adapts to the specific measurement situation is derived in the context of signal reconstruction.
Philipp Arras +6 more
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Digital watermarking method based on heteroassociative image compression and its realization with artificial neural networks [PDF]
Компьютерная оптика, 2018 In this paper, we present a digital watermarking method and associated algorithms that use a heteroassociative compressive transformation to embed a digital watermark bit sequence into blocks (fragments) of container images.
Alexander Sirota +2 more
doaj +1 more source
Site Characterization Index for Continuous Power Quality Monitoring Based on Higher-order Statistics
Journal of Modern Power Systems and Clean Energy, 2022 The high penetration of distributed generation (DG) has set up a challenge for energy management and consequently for the monitoring and assessment of power quality (PQ).
Olivia Florencias-Oliveros +5 more
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ACM Computing Surveys, 1987 This paper surveys a variety of data compression methods spanning almost 40 years of research, from the work of Shannon, Fano, and Huffman in the late 1940s to a technique developed in 1986. The aim of data compression is to reduce redundancy in stored or communicated data, thus increasing effective data density.
Lelewer, Debra A., Hirschberg, Daniel S.
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Data compression on the sphere [PDF]
Astronomy & Astrophysics, 2011 13 pages, 8 figures, accepted for publication by A&A; We make our SZIP program that implements these compression algorithms available publicly from http://www.szip.org ...
Yves Wiaux +5 more
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Time-Universal Data Compression
Algorithms, 2019 Nowadays, a variety of data-compressors (or archivers) is available, each of which has its merits, and it is impossible to single out the best ones. Thus, one faces the problem of choosing the best method to compress a given file, and this problem is ...
Boris Ryabko
doaj +1 more source
Data compression in cosmology: A compressed likelihood for Planck data [PDF]
Physical Review D, 2019 8 pages, 7 figures, accepted by Phys. Rev. D. For CosMOPED code see https://github.com/heatherprince/cosmoped; for Planck-lite-py see https://github.com/heatherprince/planck-lite ...
Heather Prince, Jo Dunkley
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Stochastic Controlled Averaging for Federated Learning with Communication Compression [PDF]
International Conference on Learning Representations, 2023 Communication compression, a technique aiming to reduce the information volume to be transmitted over the air, has gained great interests in Federated Learning (FL) for the potential of alleviating its communication overhead.
Xinmeng Huang, Ping Li, Xiaoyun Li
semanticscholar +1 more source
Optimizing sampling rate of wrist-worn optical sensors for physiologic monitoring
Journal of Clinical and Translational Science, 2021 Introduction: Personalized medicine has exposed wearable sensors as new sources of biomedical data which are expected to accrue annual data storage costs of approximately $7.2 trillion by 2020 (>2000 exabytes).
Brinnae Bent, Jessilyn P. Dunn
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Deep learning for in situ data compression of large turbulent flow simulations
, 2020 Large turbulent flow simulations can lead to information bottlenecks as data is generated faster than it can be processed and saved. Innovative in-situ data compression techniques are needed.
Andrew Glaws, R. King, M. Sprague
semanticscholar +1 more source