An introduction to compressed sensing

Mathematical preliminaries -- Compressed sensing : problem formulations -- Null-space based conditions -- Concepts from graph theory -- Deterministic construction of measurement matrices -- Probabilistic construction of measurement matrices -- Matrix recovery and completion -- Some recent approaches...

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1. Verfasser: Vidyasagar, Mathukumalli (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Philadelphia siam, Society for Industrial and Applied Mathematics 2020
Schriftenreihe:Computational science and engineering 22
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Beschreibung
Zusammenfassung:Mathematical preliminaries -- Compressed sensing : problem formulations -- Null-space based conditions -- Concepts from graph theory -- Deterministic construction of measurement matrices -- Probabilistic construction of measurement matrices -- Matrix recovery and completion -- Some recent approaches to vector recovery -- Optimization algorithms -- Case studies.
"The intended audience for the book consists of those who are interested in applying the theory of compressed sensing to practical problems, as well as those whose aim is to make further advances in the theory"--
Beschreibung:Includes bibliographical references and index
Beschreibung:xi, 341 Seiten
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ISBN:9781611976113
978-1-61197-611-3
9781611976120