DocumentCode :
455009
Title :
Genericity And Rank Deficiency Of High Order Symmetric Tensors
Author :
Comon, P. ; Mourrain, B. ; Lim, L.-H. ; Golub, G.H.
Author_Institution :
Lab. I3S, CNRS
Volume :
3
fYear :
2006
fDate :
14-19 May 2006
Abstract :
Blind identification of under-determined mixtures (UDM) is involved in numerous applications, including multi-way factor analysis (MWA) and signal processing. In the latter case, the use of high-order statistics (HOS) like cumulants leads to the decomposition of symmetric tensors. Yet, little has been published about rank-revealing decompositions of symmetric tensors. Definitions of rank are discussed, and useful results on generic rank are proved, with the help of tools borrowed from algebraic geometry
Keywords :
computational geometry; higher order statistics; signal processing; tensors; algebraic geometry; blind identification; generic rank; high order symmetric tensors; high-order statistics; multiway factor analysis; rank deficiency; signal processing; symmetric tensors decomposition; under-determined mixtures; Array signal processing; Biomedical signal processing; Geometry; Polynomials; Signal analysis; Signal processing algorithms; Singular value decomposition; Speech analysis; Statistics; Tensile stress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
ISSN :
1520-6149
Print_ISBN :
1-4244-0469-X
Type :
conf
DOI :
10.1109/ICASSP.2006.1660606
Filename :
1660606
Link To Document :
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