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• W3174119607 startingPage "103185" @default.
• W3174119607 abstract "Studying the well-known phenomenon “aurora” plays a pivotal role in investigating the solar–terrestrial coupling mechanism. A special auroral spectrograph in Antarctic Zhongshan Station constitutes a auroral observation joint system with satellite-borne sensors of the Defense Meteorological Satellite Program. Multipoint observation by this system provides more essential information for relevant studies than single observation by each instrument, but also results in a multifold increased volume of data that are difficult to be either stored or transmitted. To address this difficulty, we develop a clustering-based, generic lossless data compression framework that combines the usage of various ultimate compressors with a hierarchical clustering algorithm to exert the strength of all the compressors in data reduction. This framework achieves an always-best compression performance for different-sized datasets with a reasonable time consumption, which promises the design of pipelines using it for real-time data transmission." @default.
• W3174119607 created "2021-07-05" @default.
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• W3174119607 date "2021-07-01" @default.
• W3174119607 modified "2023-09-27" @default.
• W3174119607 title "A generic, cluster-centred lossless compression framework for joint auroral data" @default.
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• W3174119607 doi "https://doi.org/10.1016/j.jvcir.2021.103185" @default.
• W3174119607 hasPublicationYear "2021" @default.
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