搜索结果: 1-7 共查到“数学 deconvolution”相关记录7条 . 查询时间(0.031 秒)
Wavelet deconvolution in a periodic setting
Adaptive estimation Deconvolution Meyer wavelet
2015/8/20
Deconvolution problems are naturally represented in the Fourier domain, whereas
thresholding in wavelet bases is known to have broad adaptivity properties. We study a method
which combines both fast...
PERIODIC BOXCAR DECONVOLUTION AND DIOPHANTINE APPROXIMATION
BOXCAR DECONVOLUTION DIOPHANTINE APPROXIMATION
2015/8/20
We consider the nonparametric estimation of a periodic function that is
observed in additive Gaussian white noise after convolution with a “boxcar,”
the indicator function of an interval. This is an...
Convergence of approximate deconvolution models to the mean Magnetohydrodynamics Equations: Analysis of two models
Magnetohydrodynamics Large Eddy Simulation Deconvolution models
2012/6/27
We consider two Large Eddy Simulation (LES) models for the approximation of large scales of the equations of Magnetohydrodynamics (MHD in the sequel). We study two $\alpha$-models, which are obtained ...
Blockwise SVD with error in the operator and application to blind deconvolution
Blind deconvolution blockwise SVD circular and spherical deconvolution nonparametric adaptive estimation
2012/4/16
We consider linear inverse problems in a nonparametric statistical framework. Both the signal and the operator are unknown and subject to error measurements. We establish minimax rates of convergence ...
Theory for the Rotational Deconvolution model of Turbulence with Fractional regularization
Theory the Rotational Deconvolution model Turbulence Fractional regularization Analysis of PDEs
2012/4/16
We introduce a new regularization of the rotational Navier-Stokes equations that we call the Rotational Approximate Deconvolution Model (RADM). We generalize the deconvolution type model, studied by B...
Laplace deconvolution with noisy observations
adaptivity kernel estimation minimax rates Volterra equation Laplace convolution
2011/9/6
Abstract: In the present paper we consider Laplace deconvolution on the basis of discrete noisy data observed on the interval which length may increase with a sample size. Although this problem arises...
Multiscale Methods for Shape Constraints in Deconvolution
Brownian motion convexity differential inequalities ill-posed problems mode detection monotonicity multiscale statistics
2011/8/29
Abstract: We derive multiscale statistics for deconvolution in order to detect qualitative features of the unknown density. An important example covered within this framework is to test for local mono...