hardcover. Zustand: Good. Hardcover without dust jacket. Bound in glossy pictorial paper over boards with white lettering on the covers and spine. Minor wear to back cover, but book remains in overall very good condition. Binding is tight and secure. Corners are slightly bumped. Pages are crisp, clean and bright. Springer. No date on title page. Copyright page dated 2019. 507 pages. A good copy. We ship everyday from a real neighborhood bookstore. This description is written by an actual person, who is holding the book in front of them to make sure it?s properly described. Please contact us with questions or if you would like to see photographs.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 152,27
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 9.25x6.25x1.25 inches. In Stock.
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 322 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 210,57
Anzahl: 1 verfügbar
In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Springer International Publishing, 2018
ISBN 10: 3030035735 ISBN 13: 9783030035730
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces new methods to analyze vertex-varying graph signals. In many real-world scenarios, the data sensing domain is not a regular grid, but a more complex network that consists of sensing points (vertices) and edges (relating the sensing points). Furthermore, sensing geometry or signal properties define the relation among sensed signal points. Even for the data sensed in the well-defined time or space domain, the introduction of new relationships among the sensing points may produce new insights in the analysis and result in more advanced data processing techniques. The data domain, in these cases and discussed in this book, is defined by a graph. Graphs exploit the fundamental relations among the data points. Processing of signals whose sensing domains are defined by graphs resulted in graph data processing as an emerging field in signal processing.Although signal processing techniques for the analysis of time-varying signals are well established, the corresponding graph signal processing equivalent approaches are still in their infancy. This book presents novel approaches to analyze vertex-varying graph signals. The vertex-frequency analysis methods use the Laplacian or adjacency matrix to establish connections between vertex and spectral (frequency) domain in order to analyze local signal behavior where edge connections are used for graph signal localization. The book applies combined concepts from time-frequency and wavelet analyses of classical signal processing to the analysis of graph signals.Covering analytical tools for vertex-varying applications, this book is of interest to researchers and practitioners in engineering, science, neuroscience, genome processing, just to name a few. It is also a valuable resource for postgraduate students and researchers looking to expand their knowledge of the vertex-frequency analysis theory and its applications.The book consists of 15 chapters contributed by 41 leading researches in the field.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 245,35
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 524 pages. 9.25x6.10x1.22 inches. In Stock.
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New.
EUR 273,05
Anzahl: Mehr als 20 verfügbar
In den WarenkorbGebunden. Zustand: New. Ervin Sejdic is currently an Assistant Professor with the Department of Electrical Engineering and Biomedical Engineering at the University of Pittsburg. He has extensive research experience in biomedical and theoretical signal processin.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 332,93
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 500 pages. 11.00x8.50x1.50 inches. In Stock.
Sprache: Englisch
Verlag: Taylor & Francis Inc Jul 2018, 2018
ISBN 10: 1498773451 ISBN 13: 9781498773454
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware.