Results 71 to 80 of about 9,228 (164)
A Generalized Nyquist-Shannon Sampling Theorem Using the Koopman Operator [PDF]
, 2023 Zhexuan Zeng, Liu, Jun, Yuan, Ye
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Perspectives of Earth and Space Scientists, Volume 6, Issue 1, December 2025.Abstract Although the concept of thermodynamic entropy due to Clausius dates back to the early 1850s, the mathematical theory of informational entropy was not developed until the pioneering work of Shannon in 1948, the development of principle of maximum entropy (POME) and theorem of concentration by Jaynes in 1957, principle of minimum cross entropy ...
Vijay P. Singh
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On acoustically modulated jet shear layers and the Nyquist–Shannon sampling theorem
, 2022 Chris Nicholls +4 more
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The Heisenberg Uncertainty Principle and the Nyquist-Shannon Sampling Theorem [PDF]
, 2011 Pierre A. Millette
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Information-Theoretic Extensions of the Shannon-Nyquist Sampling Theorem [PDF]
, 2018 Xianming Liu, Guangyue Han
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The Discrete–Continuous Correspondence for Frequency-Limited Arma Models and the Hazards of Oversampling [PDF]
Discrete-time ARMA processes can be placed in a one-to-one correspondence with a set of continuous-time processes that are bounded in frequency by the Nyquist value of ? radians per sample period.
David Stephen Pollock
core
On Nyquist-Shannon Theorem with one-sided half of sampling sequence [PDF]
, 2016 Nikolai Dokuchaev
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Известия Томского политехнического университета: Промышленная кибернетикаMeeting the ever-increasing requirements for sensorless electric drives from technological processes can be achieved through the use of digital twins, which are a digital (discrete) model of a dynamic system.
Alexander S. Glazyrin +7 more
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Dynamic Identification of a Lightly Damped Slender Structure Using Compressive Sensing
IEEE AccessA great deal of signals coming from structural monitoring scenarios are sparse in the frequency domain, suggesting the application of Compressive Sensing (CS) techniques in order to reduce the quantity of transmitted information.
Matteo Zerbino +3 more
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