DocumentCode :
3567991
Title :
A short introduction to tensor-based methods for Factor Analysis and Blind Source Separation
Author :
Lathauwer, L.D.
Author_Institution :
Kulak - Group Sci., Eng. & Technol., Katholieke Univ. Leuven, Kortrijk, Belgium
fYear :
2011
Firstpage :
558
Lastpage :
563
Abstract :
In this survey we explain how the Canonical Polyadic Decomposition of higher-order tensors is connected to different types of Factor Analysis and Blind Source Separation.
Keywords :
blind source separation; matrix decomposition; tensors; blind source separation; canonical polyadic decomposition; factor analysis; higher-order tensors; Blind source separation; Covariance matrix; Indexes; Jacobian matrices; Matrix decomposition; Principal component analysis; Tensile stress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing and Analysis (ISPA), 2011 7th International Symposium on
ISSN :
1845-5921
Print_ISBN :
978-1-4577-0841-1
Electronic_ISBN :
1845-5921
Type :
conf
Filename :
6046668
Link To Document :
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