Adaptive Online Multivariate Signal Extraction With Locally Weighted Robust Polynomial Regression-Reference-Cited by-同舟云学术

Adaptive Online Multivariate Signal Extraction With Locally Weighted Robust Polynomial Regression

Published:2023-05-10 Issue:1 Volume:2 Page:
ISSN:2694-1899
Container-title:Data Science in Science
language:en
Short-container-title:Data Science in Science

Author:

Klanderman Molly C.¹^ORCID,Lee Junho¹^ORCID,Villez Kris²^ORCID,Cath Tzahi Y.³^ORCID,Hering Amanda S.¹^ORCID

Affiliation:

1. Department of Statistical Science, Baylor University, Waco, Texas, USA

2. Oak Ridge National Laboratory, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA

3. Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, Colorado, USA

Funder

National Science Foundation

National Science Foundation Engineering Research Center program

the National Alliance for Water Innovation (NAWI), funded by the US Department of Energy

Energy Efficiency and Renewable Energy Office

Advanced Manufacturing Office under Funding Opportunity Announcement

US Department of Energy

Office of Energy Efficiency and Renewable Energy

Advanced Manufacturing Office

UTBattelle LLC

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/26941899.2023.2200856

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5. Multivariate Real-Time Signal Extraction by a Robust Adaptive Regression Filter