Ústav teorie informace a automatizace

Jste zde

Bibliografie

Journal Article

Joint Matrices Decompositions and Blind Source Separation

Chabriel G., Kleinsteuber M., Moreau E., Shen H., Tichavský Petr, Yeredor A.

: IEEE Signal Processing Magazine vol.31, 3 (2014), p. 34-43

: GA102/09/1278, GA ČR

: joint matrices decomposition, tensor decomposition, blind source separation

: 10.1109/MSP.2014.2298045

: http://library.utia.cas.cz/separaty/2014/SI/tichavsky-0427607.pdf

(eng): This article provides a comprehensive survey of matrix joint decomposition techniques in the context of source separation. More precisely, we first intend to elaborate upon the signal models leading to different useful sets of matrices and their joint decompositions. Second, we present recent identifiability results and algorithms in distinguishing important classes.

: BB

07.01.2019 - 08:39