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Integrated Sensing and Communication Target Detection Framework and Waveform Design Method Based on Information Theory. [PDF]
Sensors (Basel)Miao Q, Shen X, Xie C, Gao Y, Chen L.
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To Compress or Not to Compress-Self-Supervised Learning and Information Theory: A Review. [PDF]
Entropy (Basel)Shwartz Ziv R, LeCun Y.
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Two Levels of Integrated Information Theory: From Autonomous Systems to Conscious Life. [PDF]
Entropy (Basel)Ruan Z, Li H.
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Editorial: Information theory meets deep neural networks: theory and applications. [PDF]
Front NeurosciZhang A, Zhang Q, Zhao K.
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Predicting future risk of developing cognitive impairment using ambulatory sleep EEG: Integrating univariate analysis and multivariate information theory approach. [PDF]
J Alzheimers DisHaghayegh S +7 more
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IEEE Transactions on Information Theory, 1998
Summary: We survey the field of quantum information theory. In particular, we discuss the fundamentals of the field, source coding, quantum error-correcting codes, capacities of quantum channels, measures of entanglement, and quantum cryptography.
Charles H. Bennett, Peter W. Shor
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Summary: We survey the field of quantum information theory. In particular, we discuss the fundamentals of the field, source coding, quantum error-correcting codes, capacities of quantum channels, measures of entanglement, and quantum cryptography.
Charles H. Bennett, Peter W. Shor
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Computers & Chemistry, 2001
The application of information theory (IT) to ecology has occurred along two separate lines: (1) it has been used to quantify the distribution of stocks and numbers of organisms; and (2) it has been employed to quantify the pattern of interactions of trophic processes.
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The application of information theory (IT) to ecology has occurred along two separate lines: (1) it has been used to quantify the distribution of stocks and numbers of organisms; and (2) it has been employed to quantify the pattern of interactions of trophic processes.
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Information theory and information science†
Information Processing & Management, 1981Abstract The empirical import of Shannon's Information Theory and its impact on information science are discussed. It is argued that extension of the scope of Information Theory as well as development of new theories of information science presupposes better understanding of relevant empirical regularities and laws.
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