Search results for "Gaussia"

showing 3 items of 653 documents

Stochastic linearization for the response of MDOF systems subjected to external and parametric Gaussian excitations

1991

The stochastic linearization approach is examined for the most general case of non zero-mean response of non-linear MDOF systems subjected to parametric and external Gaussian white excitations. It is shown that, for these systems too, stochastic linearization and Gaussian closure are two equivalent approaches if the former is applied to the coefficients of the Ito differential rule. Moreover, an extension of the Atalik-Utku approach to non zero-mean response systems allows to obtain simple formulations for the linearized drift coefficients. Some applications show the good accuracy of the method.

symbols.namesakeSimple (abstract algebra)Control theoryLinearizationGaussiansymbolsClosure (topology)Applied mathematicsRandom vibrationDifferential (infinitesimal)Parametric statisticsMathematics
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Quenched and annealed free energies

1984

This paper gives a simple exposition of the Nishimori method to solve certain quenched, random bond spin-glass models. It allows a transparent physical interpretation in terms of annealed systems. As an application a special solution of the Sherrington-Kirkpatrick model with a discrete probability distribution is obtained and shown to agree with the solution for the Gaussian case. This substantiates the claim that the averaged free energy does not depend on the details of the probability distribution Expose simple de la methode de Nishimori pour resoudre certains modeles de verres de spin avec interactions aleatoires. Interpretation transparente en termes de systemes recuits. Presentation d…

symbols.namesakeSpin glassCondensed matter physicsChemistrySpecial solutionGaussiansymbolsProbability distributionFree energiesIsing modelCondensed Matter::Disordered Systems and Neural NetworksMathematical physicsJournal de Physique
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Application of Periodic Frames to Image Restoration

2014

In this chapter, we present examples of image restoration using periodic frames. Images to be restored were degraded by blurring, aggravated by random noise and random loss of significant number of pixels. The images are transformed by periodic frames designed in Sects. 17.2 and 17.4, which are extended to the 2D setting in a standard tensor product way. In the presented experiments, performances of different tight and semi-tight frames are compared between each other in identical conditions.

symbols.namesakeTensor productPixelComputer scienceTight frameRandom noiseRandom lossGaussian functionsymbolsAlgorithmInfinite impulse responseImage restoration
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