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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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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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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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Interactive Compression of Digital Data [PDF]
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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Digital Holography Data Compression [PDF]
Telfor Journal, 2019 Digital holography processing is a research topic related to the development of novel visual immersive applications. The huge amount of information conveyed by a digital hologram and the different properties of holographic data with respect to ...
R. Corda
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Data compression with factor automata
[1991] Proceedings. Data Compression Conference, 1992 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marc Zipstein
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Compressed kNN: K-Nearest Neighbors with Data Compression. [PDF]
Entropy (Basel), 2019 The kNN (k-nearest neighbors) classification algorithm is one of the most widely used non-parametric classification methods, however it is limited due to memory consumption related to the size of the dataset, which makes them impractical to apply to large volumes of data. Variations of this method have been proposed, such as condensed KNN which divides
Salvador-Meneses J +2 more
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Arithmetic coding for data compression [PDF]
CACM, 1987 Ian H. Witten +2 more
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Data Compression Based on Stacked RBM-AE Model for Wireless Sensor Networks [PDF]
Sensors, 2018 Data compression is very important in wireless sensor networks (WSNs) with the limited energy of sensor nodes. Data communication results in energy consumption most of the time; the lifetime of sensor nodes is usually prolonged by reducing data ...
Jianlin Liu +2 more
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An Introduction to Neural Data Compression [PDF]
Foundations and Trends in Computer Graphics and Vision, 2022 Neural compression is the application of neural networks and other machine learning methods to data compression. Recent advances in statistical machine learning have opened up new possibilities for data compression, allowing compression algorithms to be ...
Yibo Yang, S. Mandt, Lucas Theis
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