Application of the Least Squares Solutions in Image Deblurring

Stanimirović, Predrag S.; Stojanović, Igor; Katsikis, Vasilios N.; Pappas, Dimitrios; Zdravev, Zoran

doi:10.1155/2015/298689

Cited by 4 publications

(1 citation statement)

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“…Solutions of these types of matrix equations which are based on the pseudoinverse of 푐 and 푟 and least squares solutions were investigated in [33][34][35]. Possible application of the proposed algorithms in finding least squares solutions of matrix equation (83) could be useful for further research.…”

Section: Resultsmentioning

confidence: 99%

Conditions for Existence, Representations, and Computation of Matrix Generalized Inverses

et al. 2017

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Conditions for the existence and representations of {2}-, {1}-, and {1, 2}-inverses which satisfy certain conditions on ranges and/or null spaces are introduced. These representations are applicable to complex matrices and involve solutions of certain matrix equations. Algorithms arising from the introduced representations are developed. Particularly, these algorithms can be used to compute the Moore-Penrose inverse, the Drazin inverse, and the usual matrix inverse. The implementation of introduced algorithms is defined on the set of real matrices and it is based on the Simulink implementation of GNN models for solving the involved matrix equations. In this way, we develop computational procedures which generate various classes of inner and outer generalized inverses on the basis of resolving certain matrix equations. As a consequence, some new relationships between the problem of solving matrix equations and the problem of numerical computation of generalized inverses are established. Theoretical results are applicable to complex matrices and the developed algorithms are applicable to both the time-varying and time-invariant real matrices.

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Section: Resultsmentioning

confidence: 99%