Search results for "radial basis functions"

showing 4 items of 4 documents

Fake Nodes approximation for Magnetic Particle Imaging

2020

Accurately reconstructing functions with discontinuities is the key tool in many bio-imaging applications as, for instance, in Magnetic Particle Imaging (MPI). In this paper, we apply a method for scattered data interpolation, named mapped bases or Fake Nodes approach, which incorporates discontinuities via a suitable mapping function. This technique naturally mitigates the Gibbs phenomenon, as numerical evidence for reconstructing MPI images confirms.

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONradial basis functionsFunction (mathematics)Magnetic Particle ImagingClassification of discontinuitieskernelsinterpolationGibbs phenomenonSettore MAT/08 - Analisi Numericasymbols.namesakeMagnetic particle imagingsymbolsKey (cryptography)Radial basis functioninterpolation; kernels; Magnetic Particle Imaging; radial basis functionsGFadial basis functionAlgorithmComputingMethodologies_COMPUTERGRAPHICSInterpolation2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)
researchProduct

Un solutore pseudospettrale basato su RBF per l'equazione di Helmoltz

2012

Radial basis functions Helmoltz equation
researchProduct

On a topology optimization problem governed by two-dimensional Helmholtz equation

2015

The paper deals with a class of shape/topology optimization problems governed by the Helmholtz equation in 2D. To guarantee the existence of minimizers, the relaxation is necessary. Two numerical methods for solving such problems are proposed and theoretically justified: a direct discretization of the relaxed formulation and a level set parametrization of shapes by means of radial basis functions. Numerical experiments are given. peerReviewed

Radial basis functionsLevel set methodTopology optimizationHelmholtz equation
researchProduct

Radial Basis Functions for Electronic Devices Behavioral Modeling

2006

In this paper a black-box identification technique based on the radial basis functions is used in developing global dynamic behavioural models of electronic devices from measured transient responses. This approach allows to reproduce a non-linear dynamic model of the device under modelling automatically taking into account all the physical effects relating input and output data, from measured waveform only: no knowledge of the internal structure is needed. Original application related to a bipolar junction transistor is reported and validated by comparing simulation results with measured data.

Radial basis functionsblack box models.
researchProduct