DocumentCode :
1736982
Title :
Tensor decompositions with Vandermonde factor and applications in signal processing
Author :
Sorensen, Matthew ; De Lathauwer, Lieven
Author_Institution :
E.E. Dept., KU Leuven, Heverlee, Belgium
fYear :
2012
Firstpage :
890
Lastpage :
894
Abstract :
Tensor decompositions involving a Vandermonde factor are common in signal processing. For instance, they show up in sensor array processing and in wireless communication. We illustrate that by simultaneously taking the tensor nature and the Vandermonde structure of the problem into account new uniqueness results and numerical methods for computing a tensor decomposition with Vandermonde structure can be obtained.
Keywords :
array signal processing; tensors; Vandermonde factor; Vandermonde structure; numerical methods; sensor array processing; signal processing; tensor decompositions; wireless communication; Vandermonde matrix; blind signal separation; blind system identification; block term decomposition; canonical polyadic decomposition; tensor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2012 Conference Record of the Forty Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4673-5050-1
Type :
conf
DOI :
10.1109/ACSSC.2012.6489143
Filename :
6489143
Link To Document :
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