Global and Fast Refinement of Greedy Sensor Selection Algorithms for Linear Models

This letter focuses on greedy approaches to select the most informative <inline-formula><tex-math notation="LaTeX">k</tex-math></inline-formula> sensors from <inline-formula><tex-math notation="LaTeX">N</tex-math></inline-formula> c...

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Bibliographic Details

Published in:	IEEE signal processing letters Vol. 32; pp. 2574 - 2578
Main Authors:	Liu, Lingya, Wang, Yiyin, Hua, Cunqing
Format:	Journal Article
Language:	English
Published:	IEEE 2025
Subjects:	Atmospheric measurements Complexity theory Covariance matrices dominant submatrix Eigenvalues and eigenfunctions global search Greedy algorithms linear model maximum-volume submatrix Pollution measurement Sensor selection Signal processing algorithms Temperature measurement Training Volume measurement
ISSN:	1070-9908, 1558-2361
Online Access:	Get full text
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