Results 31 to 40 of about 365,915 (264)
Compression of GNSS Data with the Aim of Speeding up Communication to Autonomous Vehicles
Remote Sensing, 2023 Autonomous vehicles contain many sensors, enabling them to drive by themselves. Autonomous vehicles need to communicate with other vehicles (V2V) wirelessly and with infrastructures (V2I) like satellites with diverse connections as well, to implement ...
Amnon Rakhmanov, Yair Wiseman
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Revista Matemática Complutense, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Barrio, Roberto, Elipe, Antonio
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Sketch distance-based clustering of chromosomes for large genome database compression
BMC Genomics, 2019 Background The rapid development of Next-Generation Sequencing technologies enables sequencing genomes with low cost. The dramatically increasing amount of sequencing data raised crucial needs for efficient compression algorithms.
Tao Tang +4 more
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Applications of Non-Uniquely Decodable Codes to Privacy-Preserving High-Entropy Data Representation
Algorithms, 2019 Non-uniquely-decodable (non-UD) codes can be defined as the codes that cannot be uniquely decoded without additional disambiguation information. These are mainly the class of non–prefix–free codes, where a code-word can be a prefix of other(s)
Muhammed Oğuzhan Külekci +1 more
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Remote Sensing, 2022 In Mars exploration, hyper-spectrometry plays an important role due to its high spectral resolution. However, due to the technical difficulty and the data size, the spatial resolution or the coverage of hyperspectral data is often limited.
Mingbo Sun, Shengbo Chen
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IEEE Transactions on Signal Processing, 1997 This correspondence presents entropy analyses for dithered and undithered quantized sources. Two methods are discussed that reduce the increase in entropy caused by the dither. The first method supplies the dither to the lossless encoding-decoding scheme. It is argued that this increases the complexity of the encoding-decoding scheme.
Schobben, D.W.E. +2 more
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Journal of Digital Imaging, 1997 The tutorial will expand on all of the topics outlined above and will provide additional information on other compression techniques. The practical implications of data compression and the important considerations in choosing a compression scheme will also be discussed.
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Distributed Compression of Graphical Data [PDF]
2018 IEEE International Symposium on Information Theory (ISIT), 2018 In contrast to time series, graphical data is data indexed by the vertices and edges of a graph. Modern applications such as the internet, social networks, genomics and proteomics generate graphical data, often at large scale. The large scale argues for the need to compress such data for storage and subsequent processing.
Payam Delgosha, Venkat Anantharam
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HitIct:Chinese corpus for the evaluation of lossless compression algorithms
Tongxin xuebao, 2009 HitIct, a Chinese corpus for the evaluation of lossless compression algorithms based on ANSI code, was proposed.In accordance with the principle of application representativeness, Complementary principle and openness principle, a large number of ...
CHANG Wei-ling1 +3 more
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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.
Hosoya, Akio +2 more
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