Sequential Multidimensional Spectral Estimation
type: Dataset
description: By 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.
issued: 2026-05-26T19:57:58.347387
language: en
modified: 2026-05-26T19:57:58.347393
contact point: Organization
  fn: CCSD
keyword: block
keyword: infoeu-reposemanticspreprint
keyword: inversion
keyword: levinson
keyword: mathmath-spmathematics-mathspectral-theory-mathsp
keyword: multidimensional
keyword: nd
keyword: preprints-working-papers-
keyword: spectral
keyword: tbt
keyword: toeplitz
landing page: https://hal.science/hal-00005351

Sequential Multidimensional Spectral Estimation
type: Distribution
format: HTML
issued: 2026-05-26T19:57:58.413452
modified: 2026-05-26T19:57:58.314340
access URL: https://hal.science/hal-00005351

test_moissonnage_selune
type: Agent