A New Statistic for Testing Covariance Equality in High-Dimensional Gaussian Low-Rank Models-Reference-Cited by-同舟云学术

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A New Statistic for Testing Covariance Equality in High-Dimensional Gaussian Low-Rank Models

Published:2024 Issue: Volume:72 Page:1797-1812
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Beisson Rémi¹^ORCID,Vallet Pascal¹^ORCID,Giremus Audrey¹^ORCID,Ginolhac Guillaume²^ORCID

Affiliation:

1. Laboratoire de l’Intégration du Matériau au Système CNRS, Univ. Bordeaux, Bordeaux INP, Talence, France

2. Laboratoire d’Informatique, Systèmes, Traitement de l’Information et de la Connaissance, Univ. Savoie/Mont-Blanc, Polytech Annecy, Annecy, France

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/78/10347386/10485204.pdf?arnumber=10485204

Reference35 articles.

1. Change Detection in The Covariance Structure of High-Dimensional Gaussian Low-Rank Models

2. A test statistic in the complex wishart distribution and its application to change detection in polarimetric SAR data

3. On Multiple Covariance Equality Testing with Application to SAR Change Detection

4. New Robust Statistics for Change Detection in Time Series of Multivariate SAR Images

5. Robust Low-Rank Change Detection for Multivariate SAR Image Time Series

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