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And the reconstruction performance of the SKP measurement matrix with a proper pascal matrix outperforms the random measurement matrices.
where Φ is an M × N measurement matrix with M
where Φ is a given m×n measurement matrix with m
Simulation results demonstrate that the SKP measurement matrix with a proper pascal matrix can be used to effectively reconstruct the natural images and outperforms the random measurement matrices.
where Φ∈R p×n (pmeasurement matrix with each normalized column termed as atom, and e is a noise vector.
where A∈R m×n is referred to as a measurement matrix with m
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Table 4 Tests on other random measurement matrices with different dimensions.
Obtain the compressed measurements matrix with the sampling rate M rate. 5.
where w ∈ ℂ M is unknown noise and Φ ∈ ℂM × N is a known measurement matrix, typically with M ≪ N.
where s∈ ℂ N is the observation vector, a∈ ℂN×Mis the measurement matrix (dictionary) with unknown parameter f p. Define Π ≜ {a∈ ℂ M : Qa= s}.
SWOMP algorithm changes the method of threshold setting during atom selection and lowers the requirements on the measurement matrix compared with StOMP algorithm.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com