A Volterra approach to digital predistortion sparse identification and estimation / Carlos Crespo-Cadenas, María José Madero-Ayora, Juan A. Becerra.

Author/creator Crespo-Cadenas, Carlos
Other author Madero-Ayora, María José
Other author Becerra, Juan A. (Juan Antonio Becerra González
Format Electronic
Publication InfoHoboken, New Jersey : Wiley-IEEE Press, [2025]
Descriptionpages cm
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

Contents Overview of nonlinear effects in wireless communication systems -- Volterra series approach -- Discrete-time Volterra models -- Volterra models pruning based on circuit knowledge -- Regression of Volterra models -- Sparse machine learning -- Transmitter linearization with digital predistorters.
Abstract "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.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2025026452
ISBN9781394248124 cloth
ISBNadobe pdf
ISBNepub

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