1 citations · 1 across the 6 of their papers we have counts for
6 papers
The power of prediction: spatiotemporal Gaussian process modeling for predictive control in slope-based wavefront sensing
Jalo Nousiainen, Juha-Pekka Puska, Tapio Helin +2
Time-delay error is a significant error source in adaptive optics (AO) systems. It arises from the latency between sensing the wavefront and applying the correction. Predictive con…
Bayesian experimental design for linear elasticity
Sarah Eberle-Blick, Nuutti Hyvönen
This work considers Bayesian experimental design for the inverse boundary value problem of linear elasticity in a two-dimensional setting. The aim is to optimize the positions of c…
Bayesian design of measurements for magnetorelaxometry imaging
Tapio Helin, Nuutti Hyvönen, Jarno Maaninen +1
The aim of magnetorelaxometry imaging is to determine the distribution of magnetic nanoparticles inside a subject by measuring the relaxation of the superposition magnetic field ge…
Construction of invisible conductivity perturbations for the point electrode model in electrical impedance tomography
Lucas Chesnel, Nuutti Hyvönen, Stratos Staboulis
We explain how to build invisible isotropic conductivity perturbations of the unit conductivity in the framework of the point electrode model for two-dimensional electrical impedan…
Optimizing electrode positions in electrical impedance tomography
Nuutti Hyvönen, Aku Seppänen, Stratos Staboulis
This work considers finding optimal positions for the electrodes within the Bayesian paradigm based on available prior information on the conductivity; the aim is to place the elec…
Point measurements for a Neumann-to-Dirichlet map and the Calderón problem in the plane
Nuutti Hyvönen, Petteri Piiroinen, Otto Seiskari
This work considers properties of the Neumann-to-Dirichlet map for the conductivity equation under the assumption that the conductivity is identically one close to the boundary of…