Fundamentals of signal processing in generalized metric spaces algorithms and applications
Introduction to signal processing on L-groups -- Estimation of signal parameters in sample spaces with L-group properties -- Signal filtering algorithms in spaces with L-group properties -- Signal detection, classification, and resolution in spaces with L-group properties -- Spectral estimation and...
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Boca Raton, London, New York
CRC Press, Taylor & Francis Group
2022
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| Ausgabe: | First edition |
| Schlagworte: | |
| Online Zugang: | Inhaltsverzeichnis |
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Tag hinzufügen | Zusammenfassung: | Introduction to signal processing on L-groups -- Estimation of signal parameters in sample spaces with L-group properties -- Signal filtering algorithms in spaces with L-group properties -- Signal detection, classification, and resolution in spaces with L-group properties -- Spectral estimation and spectral analysis on L-groups -- Antenna array signal processing based on L-group operations -- Signal processing L-group algorithms for communication systems and networks -- Wavelets on L-groups. "Exploring the interrelations between generalized metric spaces, lattice-ordered groups, and order statistics, the book contains a new algebraic approach to Signal Processing Theory. It describes mathematical concepts and results important in the development, analysis, and optimization of signal processing algorithms intended for various applications. The book offers a solution of large-scale Signal Processing Theory problems of increasing both signal processing efficiency under prior uncertainty conditions and signal processing rate that is provided by multiplication-free signal processing algorithms based on lattice-ordered group operations"-- |
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| Beschreibung: | Includes bibliographical references (page 391-400) and index |
| Beschreibung: | xxxiv, 414 Seiten Illustrationen, Diagramme |
| ISBN: | 9781032231259 978-1-032-23125-9 9781032231273 978-1-032-23127-3 |