Robust Multi-Dimensional Model Order Estimation Using LineAr Regression of Global Eigenvalues (LaRGE)-Reference-Cited by-同舟云学术

Robust Multi-Dimensional Model Order Estimation Using LineAr Regression of Global Eigenvalues (LaRGE)

Published:2022 Issue: Volume:70 Page:5751-5764
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Korobkov Alexey Alexandrovich¹^ORCID,Diugurova Marina Konstantinovna¹,Haueisen Jens²^ORCID,Haardt Martin³^ORCID

Affiliation:

1. Institute for Radio-Electronics, Photonics, and Digital Technologies, Kazan National Research Technical University named after A. N. Tupolev-KAI, Kazan, Russia

2. Institute of Biomedical Engineering and Informatics, Ilmenau University of Technology, Ilmenau, Germany

3. Communications Research Laboratory, Ilmenau University of Technology, Ilmenau, Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/78/9675017/09953566.pdf?arnumber=9953566

Reference30 articles.

1. A semi-algebraic framework for approximate CP decompositions via joint matrix diagonalization and generalized unfoldings

2. Detection of signals by information theoretic criteria

3. Model Order Selection for Short Data: An Exponential Fitting Test (EFT)

4. Enhanced Model Order Estimation using Higher-Order Arrays

5. Detection of number of components in CANDECOMP/PARAFAC models via minimum description length

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