We conclude that modal parameter estimation from sparse measurements, albeit fraught with difficulties, can yield valuable results.
Key in this context is the ability to derive truthful models of gas distribution from a set of sparse measurements.
Regional quantification of soil CO2 and CH4 fluxes in boreal forests remains difficult because of high landscape heterogeneity and fire disturbance coupled with a sparse measurements network.
In addition, the extension of the algorithm is proposed to deal with the networks with sparse measurements where information of some links is missing.
We have found that the set of sparse measurements using a relatively small number of particles is able to approximate the high-dimensional state distribution very effectively.
This approach has been applied to knowledge-based interpolation of sparse measurements of activation times and to the creation of initial conditions for detailed ionic models of cardiac propagation.
According to the electromagnetic scattering mechanism, the SCA technique based on the sparse measurements from the BMWR can solve this task efficiently and can also greatly save the time resources in the BMD system.
The method has been applied to several offline study cases [22] and forms part of an online application in VISOR, by using phase angles the method is able to perform well in systems with only sparse measurements.
GPs have several advantages over discrete-time trajectory representations: they can represent a continuous-time trajectory, elegantly handle asynchronous and sparse measurements, and allow the robot to query the trajectory to recover its estimated position at any time of interest.
However, in our problem, the accuracy of the NLLS is limited by the sparse measurements, and thus the NLLS can only be used as an initial guess and a more accurate estimate has to be achieved in the following SCA process.
Studies of chronic health effects due to exposures to particulate matter with aerodynamic diameters ≤ 2.5 μm (PM2.5) are often limited by sparse measurements.
