Sequential Multidimensional Spectral Estimation
Spectral Theory
2007-05-23 v2
Abstract
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.
Cite
@article{arxiv.math/0506266,
title = {Sequential Multidimensional Spectral Estimation},
author = {Rami Kanhouche},
journal= {arXiv preprint arXiv:math/0506266},
year = {2007}
}