Topological Signal Processing

Lieferzeit: Lieferbar innerhalb 14 Tagen

171,19 

Mathematical Engineering

ISBN: 3662522845
ISBN 13: 9783662522844
Autor: Robinson, Michael
Verlag: Springer Verlag GmbH
Umfang: xvi, 208 S., 134 s/w Illustr., 208 p. 134 illus.
Erscheinungsdatum: 23.08.2016
Auflage: 1/2014
Produktform: Kartoniert
Einband: Kartoniert

Signal processing is the discipline of extracting information from collections of measurements. To be effective, the measurements must be organized and then filtered, detected, or transformed to expose the desired information.  Distortions caused by uncertainty, noise, and clutter degrade the performance of practical signal processing systems.In aggressively uncertain situations, the full truth about an underlying signal cannot be known.  This book develops the theory and practice of signal processing systems for these situations that extract useful, qualitative information using the mathematics of topology — the study of spaces under continuous transformations.  Since the collection of continuous transformations is large and varied, tools which are topologically-motivated are automatically insensitive to substantial distortion. The target audience comprises practitioners as well as researchers, but the book may also be beneficial for graduate students.

Artikelnummer: 9701078 Kategorie:

Beschreibung

Signal processing is the discipline of extracting information from collections of measurements. To be effective, the measurements must be organized and then filtered, detected, or transformed to expose the desired information. Distortions caused by uncertainty, noise, and clutter degrade the performance of practical signal processing systems.In aggressively uncertain situations, the full truth about an underlying signal cannot be known. This book develops the theory and practice of signal processing systems for these situations that extract useful, qualitative information using the mathematics of topology -- the study of spaces under continuous transformations. Since the collection of continuous transformations is large and varied, tools which are topologically-motivated are automatically insensitive to substantial distortion. The target audience comprises practitioners as well as researchers, but the book may also be beneficial for graduate students.

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