Results 11 to 20 of about 21,889,530 (328)
Arithmetic coding for data compression [PDF]
CACM, 1987 Ian H. Witten +2 more
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A Data Compression Method for Wellbore Stability Monitoring Based on Deep Autoencoder [PDF]
SensorsThe compression method for wellbore trajectory data is crucial for monitoring wellbore stability. However, classical methods like methods based on Huffman coding, compressed sensing, and Differential Pulse Code Modulation (DPCM) suffer from low real-time
Shan Song +3 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
semanticscholar +1 more source
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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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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On the Randomness of Compressed Data [PDF]
2019 Data Compression Conference (DCC), 2019 It seems reasonable to expect from a good compression method that its output should not be further compressible, because it should behave essentially like random data. We investigate this premise for a variety of known lossless compression techniques, and find that, surprisingly, there is much variability in the randomness, depending on the chosen ...
Shmuel T. Klein, Dana Shapira
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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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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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Fault Diagnosis of a Propeller Using Sub-Nyquist Sampling and Compressed Sensing
IEEE Access, 2022 The fault diagnosis of rotating machinery is generally performed using methods that employ vibration and sound. These methods are simple and accurate. However, all of these methods measure vibration data on the basis of the sampling theorem.
Yuki Kato
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