Results 31 to 40 of about 21,889,530 (328)
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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IEEE Journal of Translational Engineering in Health and Medicine, 2020 Background: The enhancement in the performance of the myoelectric pattern recognition techniques based on deep learning algorithm possess computationally expensive and exhibit extensive memory behavior.
Arvind Gautam +6 more
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Compressing and Querying Integer Dictionaries Under Linearities and Repetitions
IEEE Access, 2022 We revisit the fundamental problem of compressing an integer dictionary that supports efficient ${\mathsf {rank}}$ and ${\mathsf {select}}$ operations by exploiting simultaneously two kinds of regularities arising in real data: repetitiveness and ...
Paolo Ferragina +2 more
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DeepZip: Lossless Data Compression Using Recurrent Neural Networks [PDF]
Data Compression Conference, 2018 Sequential data is being generated at an unprecedented pace in various forms, including text and genomic data. This creates the need for efficient compression mechanisms to enable better storage, transmission and processing of such data.
Mohit Goyal +3 more
semanticscholar +1 more source
Special Issue “Analysis for Power Quality Monitoring”
Energies, 2020 We are immersed in the so-called digital energy network, continuously introducing new technological advances for a better way of life. As a consequence, numerous emerging words are relevant to this point: Internet of Things (IoT), big data, smart cities,
Juan-José González de-la-Rosa +1 more
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Complexity of Cardiotocographic Signals as A Predictor of Labor
Entropy, 2020 Prediction of labor is of extreme importance in obstetric care to allow for preventive measures, assuring that both baby and mother have the best possible care. In this work, the authors studied how important nonlinear parameters (entropy and compression)
João Monteiro-Santos +5 more
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Application of data compression methods to hypothesis testing for ergodic and stationary processes [PDF]
Discrete Mathematics & Theoretical Computer Science, 2005 We show that data compression methods (or universal codes) can be applied for hypotheses testing in a framework of classical mathematical statistics. Namely, we describe tests, which are based on data compression methods, for the three following problems:
Boris Ryabko, Jaakko Astola
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Performance analysis of compression algorithms for information security: A Review [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 Data compression is a vital part of information security, since compressed data is much more secure and convenient tohandle. Effective data compression technique creates an effective, secure, easy communicable & redundant data.
Neha Sharma, Usha Batra
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The relative efficiency of data compression by LZW and LZSS
Data Science Journal, 2007 We explore the use of the LZW and LZSS data compression methods. These methods or some versions of them are very common in use of compressing different types of data.
Yair Wiseman
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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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