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A well known greedy method for sparse approximation is orthogonal matching pursuit (OMP) [22].
The complex eigenvalue solver ABLE is based on an adaptive block Lanczos method for sparse unsymmetric matrices.
In order to obtain such a set of solutions, we additionally propose the bag of pursuits (BOP) method for sparse approximation.
This work proposes a method for sparse polynomial chaos (PC) approximation of high-dimensional stochastic functions based on non-adapted random sampling.
A novel dictionary training method for sparse reconstruction for enhancing the similarity of sparse representations between the low resolution and high resolution MRI block pairs through simultaneous training two dictionaries.
In summary, the modified multilevel cross-entropy method for SParSE comprises of 3 steps.
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Each field has developed its own tools, algorithms, and reconstruction methods for sparse signal processing.
Figure 1 Comparison of the different methods for sparse signal recovery.
Figures 5 and 6 illustrate a comparison of several sparse reconstruction methods for sparse DFT signals and sparse random transformations, respectively.
In this section, three methods for sparse linear regression are reviewed that aim to select the most relevant input features in a set of precollected preference data.
Numerical simulations on a simply-supported beam and on a 31-bar planar truss under different damage severities illustrate the effectiveness of the proposed methods for sparse representation and the capabilities of the defined CMS for damage indication.
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