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