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Fractional spectral moments for digital simulation of multivariate wind velocity fields
Journal of Wind Engineering and Industrial Aerodynamics, 2011 In this paper, a new method for the digital simulation of multivariate wind velocity fields by fractional spectral moments function is proposed. Firstly, a digital linear filter whose coefficients are fractional spectral moments of the system's transfer ...
Giulio Cottone, Mario Di Paola
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A method of spectral moment estimation
IEEE Transactions on Geoscience and Remote Sensing, 1999The paper presents a new method that enables the authors to construct direct routines to estimate spectral moments of any orders. Accuracy analysis confirms high efficiency of the estimates. The feasibility of the method is tested for signal fading data acquired during observations of ionosphere multipath propagation.
Andrei A. Monakov +1 more
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Journal of Physics: Condensed Matter, 1992
A systematic analysis of the spectral moments method is presented and developed to compute the response functions of very large harmonic systems. Convergence of the algorithms is discussed and solutions are proposed to improve the results obtained. New developments are proposed. They concern, on the one hand, the determination of the Green functions or
C Benoit, E Royer, G Poussigue
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A systematic analysis of the spectral moments method is presented and developed to compute the response functions of very large harmonic systems. Convergence of the algorithms is discussed and solutions are proposed to improve the results obtained. New developments are proposed. They concern, on the one hand, the determination of the Green functions or
C Benoit, E Royer, G Poussigue
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Some Remarks on Spectral Moment Estimation
IEEE Transactions on Communications, 1972Methods for estimating the normalized moments of the power spectrum of a stationary stochastic process via both spectral and covariance approaches are outlined. Various relationships between these two techniques are examined and typical extensions which submit to similar analyses are listed.
Kenneth S. Miller, Marvin M. Rochwarger
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2023
Abstract Already a formed composer upon his arrival in France in 1989, Edmund Campion began working with Gérard Grisey and interacting with other key figures and institutions in the Paris contemporary music scene. Beset by the powerful and contradictory forces shaping musical life in Paris at the time, Campion pursued an independent ...
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Abstract Already a formed composer upon his arrival in France in 1989, Edmund Campion began working with Gérard Grisey and interacting with other key figures and institutions in the Paris contemporary music scene. Beset by the powerful and contradictory forces shaping musical life in Paris at the time, Campion pursued an independent ...
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On the spectral moment of quasi-bicyclic graphs
Applied Mathematics and Computation, 2019zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Longfei Fang, Bing Wang, Mingqing Zhai
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The Spectral Zoo of Networks: Embedding and Visualizing Networks with Spectral Moments
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020Network embedding methods have been widely and successfully used in network-based applications such as node classification and link prediction. However, an ideal network embedding should not only be useful for machine learning, but interpretable. We introduce a spectral embedding method for a network, its Spectral Point, which is basically the first ...
Shengmin Jin, Reza Zafarani
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Estimation of Spectral Moments of Time Series
Biometrika, 1970SUMMARY The task of estimating moments of the spectrum of a stationary time series, rather than the more common problem of estimating the spectrum itself, is discussed. In particular, explicit formulae are deduced for the mean and variance of an estimator of the normalized standard deviation of the spectrum.
Miller, K. S., Rochwarger, M. M.
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Spectral moments of hypertrees and their applications
Linear and Multilinear Algebra, 2021The formula for the spectral moment of graphs which is represented by the number of subgraphs is called the RNS spectral moment formula of graphs.
Lixiang Chen, Changjiang Bu, Jiang Zhou
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A covariance approach to spectral moment estimation
IEEE Transactions on Information Theory, 1972We are interested in estimating the moments of the spectral density of a comp[ex Gaussian signal process \{ q^{(1)} (t) \} when the signal process is immersed in independent additive complex Gaussian noise \{q^{(2)} (t) \} . Using vector samples Q = \{ q(t_1),\cdots ,q(t_m)\} , where q(t) = q^{(1)}(t) + q^{(2)}(t) , estimators for determining the ...
Kenneth S. Miller, Marvin M. Rochwarger
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