Sequential Multidimensional Spectral Estimation

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dc.creatorKanhouche, Rami
dc.date2005-06-14
dc.date2006-05-04
dc.date.accessioned2026-07-07T06:42:26Z
dc.date.available2026-07-07T06:42:26Z
dc.descriptionBy considering an empirical approximation, and a new class of operators that we will call walking operators, we construct, for any positive ND-toeplitz matrix, an infinite in all dimensions matrix, for which the inverse approximates the original matrix in its finite part. A recursive hierarchical algorithm is presented for sequential dimension spectral representation. A positive comparison in calculus cost, and numerical simulation, for 2D and 3D signals, is also presented.
dc.identifierhttps://arxiv.org/abs/math/0506266
dc.identifierhttp://arxiv.org/abs/math/0506266
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/102037
dc.subjectSpectral Theory
dc.titleSequential Multidimensional Spectral Estimation
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