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Jacobi's iterative method for solving linear equations and the simulation of linear CNN

dc.contributor.authorTavsanoglu, Vedat
dc.date.accessioned2026-06-27T13:01:36Z
dc.date.issued2006
dc.description.abstractIt is shown that the application of Jacobi iteration to the linear algebraic equations obtained from the state equations of a linear CNN with constant input by setting the derivatives of the states to zero yields the steady-state solution of the state equations. It is proved that the Jacobi iteration equation and that obtained by setting the integration time-step a(00)(-1) in the discrete-time state equations obtained by the use of to Euler forward difference are the same. It is also shown that the exact pixel values of the output image can be calculated.en
dc.identifier.endpage163
dc.identifier.isbn978-1-4244-0639-5
dc.identifier.startpage159
dc.identifier.urihttps://hdl.handle.net/20.500.14981/49163
dc.identifier.wos000245392200038
dc.language.isoeng
dc.publisherIEEE
dc.relation.conference10th IEEE International Workshop on Cellular Neural Networks and Their Applications
dc.relation.ispartofProceedings of the 2006 10th IEEE International Workshop on Cellular Neural Networks and Their Applications
dc.subjectRaster simulation of CNN
dc.subjectLinear Filters
dc.subjectComputer Science
dc.subjectImaging Science & Photographic Technology
dc.titleJacobi's iterative method for solving linear equations and the simulation of linear CNN
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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