Results 251 to 260 of about 24,560 (299)

A new representation of power spectral density and correlation function by means of fractional spectral moments

Probabilistic Engineering Mechanics, 2010
In this paper, a new perspective for the representation of both the power spectral density and the correlation function by a unique class of function is introduced. We define the moments of order γγ (γ∈Cγ∈C) of the one sided power spectral density and we
Giulio Cottone, Mario Di Paola
exaly   +3 more sources

Fast evaluation of stress state spectral moments

International Journal of Mechanical Sciences, 2017
In frequency domain evaluation of fatigue damage, (Vibration Fatigue) most of the evaluation criteria are based on spectral moments of the power spectral density function (PSD) of stress signal.
Claudio Braccesi, Filippo Cianetti
exaly   +2 more sources

Cross-correlation and cross-power spectral density representation by complex spectral moments

International Journal of Non-Linear Mechanics, 2017
A new approach to provide a complete characterization of normal multivariate stochastic vector processes is presented in this paper. Such proposed method is based on the evaluation of the complex spectral moments of the processes.
Gioacchino Alotta, Mario Di Paola, Francesco Paolo Pinnola   +2 more
exaly   +2 more sources

Electroencephalogram Spectral Moments for the Detection of Nocturnal Hypoglycemia

IEEE Journal of Biomedical and Health Informatics, 2020
Hypoglycemia or low blood glucose is the most feared complication of insulin treatment of diabetes. For people with diabetes, the mismatch between the insulin therapy and the body's physiology could increase the risk of hypoglycemia.
Cuong Q Ngo, Rifai Chai, Tuan V Nguyen
exaly   +2 more sources

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Spectral Moments of Phenylenes

Journal of Chemical Information and Computer Sciences, 2000
In a series of publications Estrada (Estrada, E. J. Chem. Inf. Comput. Sci. 1996, 36, 844-849; 1997 37, 320-328; 1998, 38, 23-27) employed spectral moments of line graphs in QSPR and QSAR relationship studies of various classes of compounds. A recent paper (Marković, S.; Gutman, I. J. Chem. Inf Comput. Sci.
Svetlana Markovic, Zoran Markovic, Robert I. McCrindle   +2 more
openaire   +2 more sources

Instantaneous spectral moments

Journal of the Franklin Institute, 2000
Abstract Density functions find application in many fields of science, math and engineering. In many cases, the density can be sufficiently characterized by some of its moments, particularly the mean, variance, skew and kurtosis. In signal analysis, densities of interest are the instantaneous power of the signal, the spectral density, and for signals
Keith L. Davidson, Patrick J. Loughlin
openaire   +2 more sources

Spectral Moments of the Long-term Average Spectrum: Sensitive Indices of Voice Change After Therapy?

Journal of Voice, 2005
Voice clinicians require an objective, reliable, and relatively automatic method to assess voice change after medical, surgical, or behavioral intervention.
Kristine Tanner, Nelson Roy, Eugene H Buder   +2 more
exaly   +2 more sources

Analytic evaluation of spectral moments

Journal of Sound and Vibration, 1988
In this paper an analytic procedure that drastically reduces the computational effort in evaluating the spectral moments of the response of multi-degree-of-freedom systems is presented. It is shown that the cross-spectral moments of any order of two oscillators subjected to a filtered stochastic process can be obtained in a recursive manner as a linear
M. DI PAOLA, MUSCOLINO, Giuseppe Alfredo
openaire   +1 more source

Moment Problem and Spectral Theorem

International Journal of Theoretical Physics, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Duchoň, Miloslav, Pulmannová, Sylvia
openaire   +1 more source

Comparing Fullerenes by Spectral Moments

Journal of Nanoscience and Nanotechnology, 2016
Suppose G is a graph, A(G) its adjacency matrix, and μ1(G)≤(G)μ2(G)≤ ... ≤ μ(n)(G)are eigenvalues of A(G). The numbers S(k)(G) = Σ(i) n = 1 μ(i)k (G), 0 ≤ k ≤ n -1 are said to be the k-th spectral moment of G and the sequence S(G) = (S0(G), S1 (G),..., S(n-1)(G)is called the spectral moments sequence of G. Suppose G1 and G2 are graphs.
F, Taghvaee, A R, Ashrafi
openaire   +2 more sources