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Communication Dans Un Congrès Année : 2009

Approximate tensor diagonalization by invertible transforms

Résumé

Multilinear techniques are increasingly used in Signal Processing and Factor Analysis. In particular, it is often of interest to transform a tensor into another that is as diagonal as possible or to simultaneously transform a set matrices into a set of matrices that are close to diagonal. In this paper we propose a parameterization of the general linear group. Based on this parameterization Jacobi-type procedures for congruent diagonalization and multilinear decomposition problems are developed. Comparisons with an existing congruent diagonalization algorithm is reported.
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Dates et versions

hal-00435893 , version 1 (11-02-2015)

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  • HAL Id : hal-00435893 , version 1

Citer

Mikael Sorensen, Pierre Comon, Sylvie Icart, Luc Deneire. Approximate tensor diagonalization by invertible transforms. European Signal Processing Conference, Aug 2009, Glasgow, United Kingdom. pp.4. ⟨hal-00435893⟩
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