Title :
Performance index for tensor polyadic decompositions
Author :
Comon, Pierre ; Minaoui, Khalid ; Rouijel, A. ; Aboutajdine, Driss
Author_Institution :
GIPSA-Lab., St. Martin d´Hères, France
Abstract :
It is proposed to isolate the computation of the scaling matrix in CP tensor decompositions. This has two implications. First, the conditioning of the problem shows up explicitly, and could be controlled via a constraint on the so-called coherences. Second, a performance measure concerning only the factor matrices can be exactly calculated, and does not present the optimistic bias of the minimal error generally utilized in the literature. In fact, for tensors of order d, it suffices to solve a degree-2 polynomial system in d variables. We subsequently give an explicit solution when d = 3.
Keywords :
blind source separation; matrix decomposition; performance index; tensors; CP tensor decompositions; coherence constraint; degree-2 polynomial system; factor matrices; performance index; performance measure; scaling matrix computation; tensor polyadic decompositions; Arrays; Equations; Matrix decomposition; Performance analysis; Signal to noise ratio; Tensile stress; Vectors; Array; Blind; CP; Candecomp; Canonical polyadic; Coherence; Data mining; Identification; Parafac; Performance; Source separation; Tensor;
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European
Conference_Location :
Marrakech