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A Volterra Approach to Digital Predistortion: Sparse Identification and Estimation - Couverture rigide

Crespo-Cadenas, Carlos; Madero-Ayora, Maria Jose; Becerra, Juan A.

 
9781394248124: A Volterra Approach to Digital Predistortion: Sparse Identification and Estimation
Couverture rigide
ISBN 10 : 1394248121 ISBN 13 : 9781394248124
Editeur : Wiley-IEEE Press, 2025

Synopsis

"This book offers a comprehensive treatment of the Volterra series approach as a practical tool for the behavioral modelling and linearization of nonlinear wireless communication systems. A unified framework provides the reader with in-depth understanding of the available Volterra-based behavioral models. Particularly, the book emphasizes those models derived by exploiting the knowledge of the physical phenomena that produce different types of nonlinear distortion. From these distinctive standpoints, this work contributes to theoretical issues of behavioral modelling. Finally, the book contributes to practical state-of-the-art questions on linearization, so that the reader finds practical guidance in designing digital predistortion schemes and adopting up-to-date machine learning methods to exploit the sparsity of the identification problem and reducing computational complexity"-- Provided by publisher.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Carlos Crespo-Cadenas, PhD, is a Full Professor at the Universidad de Sevilla, Spain.

María José Madero-Ayora, PhD, is an Associate Professor at the Universidad de Sevilla, Spain.

Juan A. Becerra, PhD, is an Associate Professor at the Universidad de Sevilla, Spain.

The authors are members of IEEE and the Microwave Theory and Techniques (MTT) Society and have published over 70 papers and served as reviewers for several research journals and international conferences.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Wiley-IEEE Press
Date d'édition
2025
Langue
anglais
ISBN 10 
1394248121
ISBN 13 
9781394248124
Reliure
Relié
Nombre de pages
272
Coordonnées du fabricant
Easy Access System Europe Oü, 16879218
gpsr.requests@easproject.com

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