Results 21 to 30 of about 416,240 (269)

Image Interpolation via Scanning Line Algorithm and Discontinuous B-Spline

open access: yesMathematical and Computational Applications, 2017
Image interpolation is a basic operation in image processing. Lots of methods have been proposed, including convolution-based methods, edge modeling methods, point spread function (PSF)-based methods or learning-based methods.
Cheng-ming Liu   +3 more
doaj   +1 more source

A Method of DTM Construction Based on Quadrangular Irregular Networks and Related Error Analysis. [PDF]

open access: yesPLoS ONE, 2015
A new method of DTM construction based on quadrangular irregular networks (QINs) that considers all the original data points and has a topological matrix is presented.
Mengjun Kang, Mingjun Wang, Qingyun Du
doaj   +1 more source

Texture-based Visualization of Metrics on Software Architectures [PDF]

open access: yes, 2008
We present a method that combines textures, blending, and scattered-data interpolation to visualize several metrics defined on overlapping areas-of-interest on UML class diagrams.
Byelas, Heorhiy,, Telea, Alexandru,
core   +3 more sources

Real method of interpolation on subcouples of codimension one [PDF]

open access: yesStudia Mathematica, 2008
We find necessary and sufficient conditions under which the norms of the interpolation spaces (N0,N1)θ,q and (X0,X1)θ,q are equivalent on N, where N is the kernel of a nonzero functional ψ∈(X0∩X1)∗ and Ni is the normed space N with the norm inherited from Xi (i=0,1).
Astashkin, S. V., Sunehag, P.
openaire   +2 more sources

Space-Time Transfinite Interpolation of Volumetric Material Properties [PDF]

open access: yes, 2014
The paper presents a novel technique based on extension of a general mathematical method of transfinite interpolation to solve an actual problem in the context of a heterogeneous volume modelling area.
Adzhiev, Valery   +4 more
core   +1 more source

Reiteration Formulae for the Real Interpolation Method Including L or R Limiting Spaces

open access: yesJournal of Function Spaces, 2020
We consider a real interpolation method defined by means of slowly varying functions. We present some reiteration formulae including so-called L or R limiting interpolation spaces.
Leo R. Ya. Doktorski
doaj   +1 more source

Approach on prediction of indoor temperature distribution by combining POD, CRI and mobile sensors [PDF]

open access: yesE3S Web of Conferences, 2022
In our previous study, a prediction method of indoor temperature distribution based on the Contribution Ratio of Indoor Climate (CRI) and finite air temperature collected by one mobile sensor has been proposed.
Zhao Yanan, Ding Xiaoxiao, Zhang Weirong
doaj   +1 more source

An Effective Approach of Approximation of Fractional Order System using Real Interpolation Method

open access: yesJournal of Advanced Engineering and Computation, 2017
Fractional-order controllers are recognized to guarantee better closed-loop performance and robustness than conventional integer-order controllers.
Dung Quang Nguyen
doaj   +1 more source

Back Projection Algorithm for Multi-Receiver Synthetic Aperture Sonar Based on Two Interpolators

open access: yesJournal of Marine Science and Engineering, 2022
The back projection (BP) algorithm is characterized by its high performance for multi-receiver synthetic aperture sonar (SAS). For this reason, it is usually used to evaluate the imaging performance of Fourier-domain methods.
Xuebo Zhang, Peixuan Yang
doaj   +1 more source

The real interpolation method on couples of intersections

open access: yesFunctional Analysis and Its Applications, 2006
Let \((X_0, X_1)\) be a Banach couple such that \(X_0\cap X_1\) is dense in both \(X_0\) and \(X_1\), and let \(N=\text{ker\,} \psi,\) where \(\psi\) is a linear functional on the intersection \(X_0\cap X_1.\) Denote by \(N_i\) the normed space \(N\) with norm inherited from \(X_i\), \(i=0,1.\) The authors characterize the intervals for the parameter \(
Astashkin, S.V., Sunehag, Peter
openaire   +2 more sources

Home - About - Disclaimer - Privacy