Results 21 to 30 of about 1,145,296 (299)
Electromagnetohydrodynamic (EMHD) Flow in a Microchannel with Random Surface Roughness
Micromachines, 2023 This study investigates the effect of small random transverse wall roughness on electromagnetohydrodynamic (EMHD) flow is in a microchannel, employing the perturbation method based upon stationary random function theory.
Nailin Ma, Yanjun Sun, Yongjun Jian
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Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2013 Determining and forecasting of environmental influence of telecommunication equipment that is a source of electromagnetic radiation is still an actual challenge.
Oleksandr Naumchuk
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Temporal Coherence Estimators for GBSAR
Remote Sensing, 2022 Many Ground-Based Synthetic Aperture Radar (GBSAR) applications demand preliminary analysis to select areas with high-quality signal. That is, areas in which the phase can be processed to extract the desired information. The interferometric coherence and
Alessandra Beni +3 more
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Известия высших учебных заведений. Поволжский регион:Технические науки, 2022 Background. Application of stability margin of dynamic system, integral estimates of autocorrelation functions and spectra of vibro-acoustic oscillations in machine tools is relevant for evaluation of their dynamic quality and purpose of cutting mode ...
A.A. Ignat'ev +3 more
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Estimating Spectral Density Functions Robustly
Revstat Statistical Journal, 2007 We consider in the following the problem of robust spectral density estimation. Unfortunately, conventional spectral density estimators are not robust in the presence of additive outliers (cf. [18]).
Bernhard Spangl , Rudolf Dutter
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Spectral properties of the generalized diluted Wishart ensemble
Journal of Physics: Complexity, 2022 The celebrated Marčenko–Pastur law, that considers the asymptotic spectral density of random covariance matrices, has found a great number of applications in physics, biology, economics, engineering, among others.
Isaac Pérez Castillo
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Sublinear time spectral density estimation
Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing, 2022 We present a new sublinear time algorithm for approximating the spectral density (eigenvalue distribution) of an $n\times n$ normalized graph adjacency or Laplacian matrix. The algorithm recovers the spectrum up to $ε$ accuracy in the Wasserstein-1 distance in $O(n\cdot \text{poly}(1/ε))$ time given sample access to the graph.
Braverman, Vladimir +2 more
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Entropy, 2014 We prove a large deviation principle for a stationary Gaussian process over Rb,indexed by Ζd (for some positive integers d and b), with positive definite spectral density, andprovide an expression of the corresponding rate function in terms of the mean ...
Olivier Faugeras, James MacLaurin
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Assessing Granger-Causality in the Southern Humboldt Current Ecosystem Using Cross-Spectral Methods
Entropy, 2020 The southern Humboldt Current ecosystem is an important topic among researchers working on the drivers of pelagic species’ biological indicators.
Javier E. Contreras-Reyes +1 more
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Discrimination of spectral density
The Journal of the Acoustical Society of America, 1986 Experiments were performed to determine the ability of human listeners to discriminate between a sound with a large number of spectral components in a band, of given characteristic frequency and bandwidth, and a sound with a smaller number of components in that band.
Hartmann, W. M. +3 more
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