TRPAST: A Tunable and Robust Projection Approximation Subspace Tracking Method-Reference-Cited by-同舟云学术

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TRPAST: A Tunable and Robust Projection Approximation Subspace Tracking Method

Published:2023 Issue: Volume:71 Page:2407-2419
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Rekavandi Aref Miri¹^ORCID,Seghouane Abd-Krim²^ORCID,Abed-Meraim Karim³^ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, The University of Melbourne, Melbourne, VIC, Australia

2. School of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, Australia

3. PRISME Laboratory, University of Orleans, Orleans, France

Funder

Australian Research Council

University of Melbourne

Ph.D. Write up Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/78/10040758/10164018.pdf?arnumber=10164018

Reference41 articles.

1. An Improved Adaptive Subspace Tracking Algorithm Based on Approximated Power Iteration

2. Federated Over-Air Subspace Tracking From Incomplete and Corrupted Data

3. Estimating the Angles of Arrival of Multiple Plane Waves

4. Provable Dynamic Robust PCA or Robust Subspace Tracking

5. Simplified neuron model as a principal component analyzer

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