An Algebraic Coupled Canonical Polyadic Decomposition Algorithm via Joint Eigenvalue Decomposition-Reference-Cited by-同舟云学术

An Algebraic Coupled Canonical Polyadic Decomposition Algorithm via Joint Eigenvalue Decomposition

Published:2022-02-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 6th International Conference on Digital Signal Processing
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Author:

Xi Kai¹,Gong Xiaofeng¹,Lin Qiuhua¹

Affiliation:

1. School of Information and Communication Engineering, Dalian University of Technology, China

Funder

China Postdoctoral Science Foundation

National Natural Science Foundation of China

Fundamental Research Funds for Central Universities, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3529570.3529576

Reference16 articles.

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2. Hanna Becker , Pierre Comon , and Laurent Albera . 2012 . Tensor-based preprocessing of combined EEG/MEG data . In Proceedings of the 20th European Signal Processing Conference, EUSIPCO 2012. European Signal Processing Conference, EUSIPCO , Bucharest, Romania, Article 6333946, 5 pages. Hanna Becker, Pierre Comon, and Laurent Albera. 2012. Tensor-based preprocessing of combined EEG/MEG data. In Proceedings of the 20th European Signal Processing Conference, EUSIPCO 2012. European Signal Processing Conference, EUSIPCO, Bucharest, Romania, Article 6333946, 5 pages.

3. An Algebraic Approach to Nonorthogonal General Joint Block Diagonalization

4. On Uniqueness and Computation of the Decomposition of a Tensor into Multilinear Rank-$(1,L_r,L_r)$ Terms

5. Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation