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Sparse Signal Acquisition via Compressed Sensing and Principal Component Analysis Cover

Sparse Signal Acquisition via Compressed Sensing and Principal Component Analysis

Measurement Science Review
Volume 18 (2018): Issue 5 (October 2018)
By: Imrich Andráš,  Pavol Dolinský,  Linus Michaeli and  Ján Šaliga  
Open Access
|Oct 2018

Authors

Imrich Andráš

imrich.andras@tuke.sk

Technical University of Košice, Faculty of Electrical Engineering and Informatics, Department of Electronics and Multimedia Telecommunications, Letna,, Košice, Slovakia

Pavol Dolinský

Technical University of Košice, Faculty of Electrical Engineering and Informatics, Department of Electronics and Multimedia Telecommunications, Letna,, Košice, Slovakia

Linus Michaeli

Technical University of Košice, Faculty of Electrical Engineering and Informatics, Department of Electronics and Multimedia Telecommunications, Letna,, Košice, Slovakia

Ján Šaliga

Technical University of Košice, Faculty of Electrical Engineering and Informatics, Department of Electronics and Multimedia Telecommunications, Letna,, Košice, Slovakia
DOI: https://doi.org/10.1515/msr-2018-0025 | Journal eISSN: 1335-8871
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Language: English
Page range: 175 - 182
Submitted on: Apr 13, 2018
|
Accepted on: Sep 3, 2018
|
Published on: Oct 17, 2018
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Compressed sensing,
analog-to-information conversion,
sparse signal,
signal compression
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2018 Imrich Andráš, Pavol Dolinský, Linus Michaeli, Ján Šaliga, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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