A method of approximate multidimensional factorization via the singular value decomposition

An extension of the singular value decomposition (SVD) to multidimensional (m-D) arrays (tensors) has been proposed previously. This extension provide us with a new method for m-dimensional factorization, a 3-D example is given.

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Bibliographische Detailangaben
1. Verfasser:	Mastorakis, N.E.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computer science Data compression Digital signal processing Eigenvalues and eigenfunctions Matrix decomposition Multidimensional systems Singular value decomposition Tensile stress Two dimensional displays
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Beschreibung
Zusammenfassung:	An extension of the singular value decomposition (SVD) to multidimensional (m-D) arrays (tensors) has been proposed previously. This extension provide us with a new method for m-dimensional factorization, a 3-D example is given.
DOI:	10.1109/ICDSP.1997.628501