The 3-D magnetic configuration of a filament and of a low energy flare is reconstructed, using linear magnetohydrostatic (lmhs) extrapolations.
Calibration curves were reconstructed using linear and exponential functions for pure MCYST-LR in MeOH (10 concentrations in duplicates), MCYST-LR in Stigeoclonium extract (7 concentrations in triplicates), and MCYST-LR in salmon hydrolyzate (5 concentrations in triplicates).
Similarly, the nitrile density map can be reconstructed using a linear combination of two single-frequency SRS images recorded at the peak of the C≡N stretch along the crystallographic b- and c-axes.
By choosing the reconstruction grid to include the point of interest, a high order function value can be reconstructed using only positive linear weights.
Images may then be reconstructed using standard tomographic techniques.
From each cluster only a head sensor transmits data to the fusion center, while the measurements of the remaining sensors are reconstructed using proper linear filters that learn the correlation pattern within a cluster via normalized least mean squares.
The charge distribution surrounding the bubble was reconstructed using an iterative linear back projection (LBP) algorithm by assuming that the bubble is symmetrical and the charge around the bubble remains constant as the bubble rises.
The time series of the propagated sea state parameters at a particular location are reconstructed using a non-linear interpolation technique based on radial basis functions (RBFs), providing excellent results in a high dimensional space with scattered data as occurs in the cases selected with MDA.
In short, a set of phantom data from each scanner involved in the ENC-DAT project was reconstructed using each reconstruction method, so that linear relationships of measured vs true phantom SBRs could be derived.
The transmission image shows the distribution of the linear attenuation coefficient (cm−1), which was reconstructed using a maximum a posteriori reconstruction.
