Title
A unitary joint diagonalization algorithm for nonsymmetric higher-order tensors based on Givens-like rotations.
Abstract
Based on Givens-like rotations, we present a unitary joint diagonalization algorithm for a set of nonsymmetric higher-order tensors. Each unitary rotation matrix only depends on one unknown parameter which can be analytically obtained in an independent way following a reasonable assumption and a complex derivative technique. It can serve for the canonical polyadic decomposition of a higher-order tensor with orthogonal factors. Furthermore, based on cross-high-order cumulants of observed signals, we show that the proposed algorithm can be applied to solve the joint blind source separation problem. The simulation results reveal that the proposed algorithm has a competitive performance compared with those of several existing related methods.
Year
DOI
Venue
2020
10.1002/nla.2291
NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS
Keywords
DocType
Volume
canonical polyadic decomposition,higher-order tensor,joint blind source separation,joint diagonalization
Journal
27.0
Issue
ISSN
Citations 
3.0
1070-5325
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Jifei Miao101.69
Guanghui Cheng200.34
Wenrui Li300.34
Eric Moreau400.34