. this application of rh interpolation can be thought as a compression post-processing that enhances the portability of dlra solutions. fig. 8 relative error with reference solution of the interpolation of dlra
We use the so-called block Hankel vector approach for the treatment of these problems and make explicit the correspondence between solutions to the Nevanlinna-Pick interpolation problem and solutions to an associated power moment problem with the block Hankel vector under consideration. This enables ...
This component is designed such that for problems without noise, it will be possible to reduce this component so the real solution will be approached, while for images with noise, this positive addition will yield an optimal solution [87]. A further way of describing the convolution between ...
While some of the problems associated with such a two-tap filter can be compensated by post-filtering techniques, the combination of problems evident from the gain and phase responses require quite complex post-filtering solutions, which generally are not cost effective. [0045] In view of the ...
Paper tables with annotated results for DAWN-SI: Data-Aware and Noise-Informed Stochastic Interpolation for Solving Inverse Problems
In addition there are some classes of problems for which an interpolation capability is indispensible. Recently the present author has proposed the use of block explicit Runge-Kutta formulae which advance the integration by more than one step at a time. One of the advantages of these block ...
In a traffic information system, the principal component analysis of the floating car data collected in the past is performed for each traffic area. From among the bases representing the traffic data
forpolynomialswithmorevariablesandhigherdegree. Keywords:Factorizationofmultivariatepolynomials,Interpolation methods,NumericalComputation,DecompositionofAffineVariety. ∗TheworkispartiallysupportedbyChina973ProjectNKBRPC-2004CB318003. 1 1 Introduction Polynomialfactorizationplaysasignificantroleinmanyproblemsincludingthe ...
The numerical solutions are obtained with the Finite Difference and Finite Volume methods (FDM and FVM) using numerical approximations of first-, second- and fourth-order accuracy. Although the solutions of cited problems are well known in the literature, these problems were chosen because they ...
Abstract This paper uses the commutant lifting theorem, along with some elementary facts from realization theory, to obtain all solutions to a tangential interpolation problem in terms of a minimal realization and two observability grammians.