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Stream-Based Visually Lossless Data Compression Applying Variable Bit-Length ADPCM Encoding [PDF]
Sensors, 2021 Video applications have become one of the major services in the engineering field, which are implemented by server–client systems connected via the Internet, broadcasting services for mobile devices such as smartphones and surveillance cameras for ...
Shinichi Yamagiwa, Yuma Ichinomiya
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Time-Universal Data Compression [PDF]
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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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
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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
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Journal of King Saud University: Computer and Information Sciences, 2021 Explosive growth of data in digital world leads to the requirement of efficient technique to store and transmit data. Due to limited resources, data compression (DC) techniques are proposed to minimize the size of data being stored or communicated. As DC
Uthayakumar Jayasankar +2 more
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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
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Data Compression for Climate Data [PDF]
Supercomputing Frontiers and Innovations, 2016 The different rates of increase for computational power and storage capabilities of supercomputers turn data storage into a technical and economical problem. Because storage capabilities are lagging behind, investments and operational costs for storage systems have increased to keep up with the supercomputers' I/O requirements.
Michael Kuhn 0003 +2 more
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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
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Data Compression Algorithms for Wireless Sensor Networks: A Review and Comparison
IEEE Access, 2021 Energy consumption has risen to be a bottleneck in wireless sensor networks. This is caused by the challenges faced by these networks due to their tiny sensor nodes that have limited memory storage, small battery capacity, limited processing capability ...
Keleadile Lucia Ketshabetswe +4 more
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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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