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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Format: | UnknownFormat |
Sprache: | eng |
Veröffentlicht: |
Philadelphia
siam, Society for Industrial and Applied Mathematics
2020
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Schriftenreihe: | Computational science and engineering
22 |
Schlagworte: | |
Online Zugang: | Inhaltsverzeichnis zbMATH |
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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"-- |
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Beschreibung: | Includes bibliographical references and index |
Beschreibung: | xi, 341 Seiten Diagramme |
ISBN: | 9781611976113 978-1-61197-611-3 9781611976120 |