Sentence examples for data reconstruction method from inspiring English sources

We use the stagewise orthogonal matching pursuit (StOMP) algorithm [21] as the sparse data reconstruction method.

For example, a predictive control strategy for wide-area damping control was presented in [28] with the consideration of data loss and other physical constraints, and a data reconstruction method using the low-rank matrix completion approach was provided in [29], in which way the lost data could be partially recovered at a control center.

Zhang et al. [3] proposed two data reconstruction methods based on Singular Value Decomposition and K-means clustering.

In contrast to conventional data reconstruction methods based on conservative variables, the water surface level is chosen as the basis for data reconstruction.

Our results also indicate that using the cross-validation technique to evaluate the performance of data reconstruction methods can lead to misleading conclusions about their relative performance.

Using our derivation of PD, we consider the data reconstruction (DRC) method in the presence of a soft limiter in Section 3. Finally, we conclude this article in Section 4.

For tomographic reconstruction problems with limited data, iterative reconstruction methods are often able to produce reconstructions with higher quality than direct methods [9].

In view of the inaccurate nature of the reconstruction model and TOF data, a new reconstruction method that integrates the advantages of the Tikhonov regularization method and the least squares support vector machine (LSSVM) is proposed to improve the reconstruction quality.

EPI magnitude images were reconstructed from the complex k-space raw data using a generalized reconstruction method based on the measured EPI k-space trajectory to minimize ghosting (Josephs, Deichmann, & Turner, 2000), combining the single coil images by sum of squares (Roemer, Edelstein, Hayes, Souza, & Mueller, 1990).

Clearly, the pattern of taxon coverage is a factor in large scale phylogenetic inference, regardless of the details of the sequence data themselves or tree reconstruction method.

EPI images were generated offline from the complex k-space raw data using a generalized reconstruction method based on the measured EPI k-space trajectory to minimize ghosting and were corrected for serial slice acquisition [ 28 30].