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[PDF] Top 20 Phenomenological model for predicting stationary and non-stationary spectra of wave turbulence in vibrating plates

Has 10000 "Phenomenological model for predicting stationary and non-stationary spectra of wave turbulence in vibrating plates" found on our website. Below are the top 20 most common "Phenomenological model for predicting stationary and non-stationary spectra of wave turbulence in vibrating plates".

Phenomenological model for predicting stationary and non-stationary spectra of wave turbulence in vibrating plates

Phenomenological model for predicting stationary and non-stationary spectra of wave turbulence in vibrating plates

... Summary. Wave turbulence theory aims at describing the long time behaviour of weakly nonlinear and out-of-equilibrium ...systems. For thin vibrating plates, this ... Voir le document complet

7

A phenomenological model for predicting the effect of damping on wave turbulence spectra in vibrating plates

A phenomenological model for predicting the effect of damping on wave turbulence spectra in vibrating plates

... Thin plates vibrating at large amplitudes may exhibit a strongly nonlinear regime that has to be studied within the framework of wave ...importance of the damping on the spectra ... Voir le document complet

3

Phenomenological model for predicting stationary and non-stationary spectra of wave turbulence in vibrating plates

Phenomenological model for predicting stationary and non-stationary spectra of wave turbulence in vibrating plates

... used in order to solve ...al model at multiple times and s aled as pres ribed by ...solution of the self-similar equa- tion ...evolution of the spe ...simulations of the ... Voir le document complet

23

Beam focusing antenna array technology for non-stationary mobility

Beam focusing antenna array technology for non-stationary mobility

... Line of sight (LoS) component. All three are considered and analyzed in the context of non-stationary ...size of the virtual cell is large with respect to that of a ... Voir le document complet

7

On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems

On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems

... ranked and weighted according to their accumulated ...example of softmax action selection is the so-called EXP3 policy (for Exponential-weight algorithm for Exploration and ... Voir le document complet

25

Bargaining in Stationary Networks

Bargaining in Stationary Networks

... 1, n is a contraction with respect to the sup norm on 핉 n . The proof is omitted as it is similar (but simpler, since it does not involve Lemma 5) to that of Lemma 6. The unique fixed point belongs to [0, 1 ] n ... Voir le document complet

40

Sequential Random Distortion Testing of Non-Stationary Processe

Sequential Random Distortion Testing of Non-Stationary Processe

... 0 and H 1 correspond to two possible distributions for the ...observations. For details on Wald’s approach, the reader can refer to [ 7 ...extension of likelihood theory in that it ... Voir le document complet

26

Modified Sparse Subspace Clustering for Radar Detection in Non-stationary Clutter

Modified Sparse Subspace Clustering for Radar Detection in Non-stationary Clutter

... detection, Non-stationary clutter, Subspace clus- ...enclosed in a noisy environment is a major topic in adaptive array processing, which still drives research ...presence of targets or ... Voir le document complet

6

NMF with time-frequency activations to model non-stationary audio events

NMF with time-frequency activations to model non-stationary audio events

... (notes) of the analyzed sound are nearly sta- tionary. In case of a noticeable spectral variability, the standard NMF will likely need several non-meaningful atoms to decompose a single event, ... Voir le document complet

5

NMF with time-frequency activations to model non-stationary audio events

NMF with time-frequency activations to model non-stationary audio events

... retrieval, non-negative matrix factorization, unsupervised machine ...decomposition of audio signals in terms of elemen- tary atoms has been a large field of research for ... Voir le document complet

10

Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks

Exact ICL maximization in a non-stationary temporal extension of the stochastic block model for dynamic networks

... one for N ≥ K max and U ≥ D max . Thus the worst case complexity of one “iteration” of the algorithm is O((N + U )D max K max 2 ...complexity of the algorithm, while obviously re- lated ... Voir le document complet

34

Exact ICL maximization in a non-stationary time extension of the latent block model for dynamic networks

Exact ICL maximization in a non-stationary time extension of the latent block model for dynamic networks

... block model (LBM) is a flexible probabilistic tool to describe interactions between node sets in bipartite networks, but it does not account for interactions of time varying intensity between ... Voir le document complet

7

Stationary solutions with vacuum for a one-dimensional chemotaxis model with non-linear pressure

Stationary solutions with vacuum for a one-dimensional chemotaxis model with non-linear pressure

... movement of cells, bacteria or other microorganisms following the gradient of a chemical concentration, known as chemoattractant, has been widely studied in mathematics in the last two decades ... Voir le document complet

38

Fast non-stationary deconvolution of ultrasonic beamformed images for nondestructive testing

Fast non-stationary deconvolution of ultrasonic beamformed images for nondestructive testing

... shown in Figure 4, using the four PSFs introduced in Section III-B as ...center of the image, its interpolation and the corresponding ...modeled, and the relative error is ap- ... Voir le document complet

11

Stationary Oldroyd model with diffusive stress in thin pipes

Stationary Oldroyd model with diffusive stress in thin pipes

... investigation of the Oldroyd model was done by Renardy, who proved an existence result in the stationary case in ...subject of the asymptotic behaviour of Newtonian fluids ... Voir le document complet

33

Forecasting Non-Stationary Volatility with Hyper-Parameters

Forecasting Non-Stationary Volatility with Hyper-Parameters

... minimization of a train- ing criterion which involves both training errors on each training example and some hyper-parameters, which are kept fixed during this ...minimization. For example, in ... Voir le document complet

19

A model for drop and bubble breakup frequency based on turbulence spectra

A model for drop and bubble breakup frequency based on turbulence spectra

... work of Kolmogorov 4 and Hinze, 5 most of the existing models consider the turbulent flow like a discrete array of eddies at the scale of drop or bubble size, and they assume that ... Voir le document complet

14

Non-linear and non-stationary hydroclimate variability in France and the Euro-Atlantic area

Non-linear and non-stationary hydroclimate variability in France and the Euro-Atlantic area

... angles and distance unchanged and are composed of rotations and translations ...instead of speaking a precise transformation, we usually regroup all transformations that share the same ... Voir le document complet

209

A model for drop and bubble breakup frequency based on turbulence spectra

A model for drop and bubble breakup frequency based on turbulence spectra

... work of Kolmogorov 4 and Hinze, 5 most of the existing models consider the turbulent flow like a discrete array of eddies at the scale of drop or bubble size, and they assume that ... Voir le document complet

15

The ASTRES Toolbox for Mode Extraction of Non-Stationary Multicomponent Signals

The ASTRES Toolbox for Mode Extraction of Non-Stationary Multicomponent Signals

... reassignment and the synchrosqueez- ing methods [2], [3], [4], can improve the readability of a time-frequency representation ( TFR ...sharpened and invertible TFR s allowing many applications like ... Voir le document complet

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