Results 21 to 30 of about 24,372,621 (308)
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
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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
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Trajectory Data Compression Algorithm Based on Ship Navigation State and Acceleration Variation
Journal of Marine Science and Engineering, 2023 An active area of study under the dual carbon target, which is based on automatic identification systems (AIS), is the emission inventory of pollutants from ships.
Junbo Gao, Ze Cai, Wangjing Yu, Wei Sun
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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
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Improved Edge Folding Algorithm for 3D Building Models Taking into Account the Visual Features
Buildings, 2023 Simplifying 3D building models, effectively reducing model complexity and improving mapping efficiency, is an important part of 3D GIS. In order to address the problem that the simplification basis considered by most 3D building model data compression ...
Haoyuan Bai +4 more
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Interactive Compression of Digital Data
Algorithms, 2010 If we can use previous knowledge of the source (or the knowledge of a source that is correlated to the one we want to compress) to exploit the compression process then we can have significant gains in compression.
Bruno Carpentieri
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A tight upper bound on the size of the antidictionary of a binary string [PDF]
Discrete Mathematics & Theoretical Computer Science, 2005 A tight upper bound of the size of the antidictionary of a binary string is presented. And it is shown that the size of the antidictionary of a binary sting is always smaller than or equal to that of its dictionary.
Hiroyoshi Morita, Takahiro Ota
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Average Redundancy for Known Sources: Ubiquitous Trees in Source Coding [PDF]
Discrete Mathematics & Theoretical Computer Science, 2008 Analytic information theory aims at studying problems of information theory using analytic techniques of computer science and combinatorics. Following Hadamard's precept, these problems are tackled by complex analysis methods such as generating functions,
Wojciech Szpankowski
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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 for Helioseismology [PDF]
, 2022 Efficient data compression will play an important role for several upcoming and planned space missions involving helioseismology, such as Solar Orbiter. Solar Orbiter, to be launched in October 2018, will be the next space mission involving helioseismology. The main characteristic of Solar Orbiter lies in its orbit. The spacecraft will have an inclined
Löptien, Björn +4 more
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