An adaptive procedure for signal representation is proposed. The representation is built up through functions (atoms) selected from a redundant family (dictionary). At each iteration, the algorithm gives rise to an approximation of a given signal, which is guaranteed 1) to be the orthogonal projection of a signal onto the subspace generated by the selected atoms and 2) to minimize the norm of the corresponding residual error. The approach is termed optimized orthogonal matching pursuit because it improves upon the earlier proposed matching pursuit and orthogonal matching pursuit approaches.
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- Adaptive signal representation
- Dictionary atoms
- Matching pursuit
- Nonorthogonal atomic decomposition
- Nonorthogonal signal representation
- Subset selection