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Similarly, for the OMP and GP, we will only use the least complex OMP algorithm.
Subscripts of OMP and CoSaMP denote numbers of grid points.
Similarities between the concrete with OMP and concrete with steel fiber were found in the displacement load curves.
And, there is the broadband signal reconstruction by comparing the method of OMP and BOMP.
Classic CS algorithms, such as OMP and SP, can also accurately reconstruct the channel.
Rows 1 5 show results using LS, IRL1, SBL, OMP, and LMS, respectively.
Moreover, their performance is compared with those of the CCS using OMP and FISTA.
We can use MP, OMP, and BP to estimate the sparse channel using the training sequence.
The algorithms of these greedy methods (MP, OMP, and CoSaMP) are shown in Table 4.
OMP and ROMP algorithms are the most classical solutions for compressed sensing.
Here we used the SparseLab a implementations of OMP and BP (SolveOMP and SolveBP).
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