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Optimization Paradigm in the Signal Recovery after Compressive Sensing Cover

Optimization Paradigm in the Signal Recovery after Compressive Sensing

Measurement Science Review
Volume 19 (2019): Issue 1 (February 2019)
By: Linus Michaeli,  Ján Šaliga,  Pavol Dolinský and  Imrich Andráš  
Open Access
|Feb 2019

Authors

Linus Michaeli

linus.michaeli@tuke.sk

Technical University of Košice, Faculty of electrical engineering and informatics

Ján Šaliga

jan.saliga@tuke.sk

Technical University of Košice, Faculty of electrical engineering and informatics

Pavol Dolinský

pavol.dolinsky@tuke.sk

Technical University of Košice, Faculty of electrical engineering and informatics

Imrich Andráš

imrich.andras@tuke.sk

Technical University of Košice, Faculty of electrical engineering and informatics
DOI: https://doi.org/10.2478/msr-2019-0006 | Journal eISSN: 1335-8871
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Language: English
Page range: 35 - 42
Submitted on: May 25, 2018
|
Accepted on: Jan 24, 2019
|
Published on: Feb 23, 2019
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 Converter
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2019 Linus Michaeli, Ján Šaliga, Pavol Dolinský, Imrich Andráš, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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