A Volterra Approach to Predistortion by Carlos Crespo-Cadenas (.PDF)

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A Volterra Approach to Digital Predistortion: Sparse Identification and Estimation by Carlos Crespo-Cadenas, María José Madero-Ayora, Juan A. Becerra
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Overview: Thorough discussion of the theory and application of the Volterra series for impairments compensation in RF circuits and systems. A Volterra Approach to Digital Predistortion: Sparse Identification and Estimation offers a comprehensive treatment of the Volterra series approach as a practical tool for the behavioral modeling and linearization of nonlinear wireless communication systems. Although several perspectives can be considered when analyzing nonlinear effects, this book focuses on the Volterra series to study systems with real-valued continuous time RF signals as well as complex-valued discrete-time baseband signals in the digital signal processing field. A unified framework provides the reader with in-depth understanding of the available Volterra-based behavioral models; in particular, 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 remarkably contributes to theoretical issues of behavioral modeling.
Genre: Non-Fiction > Tech & Devices

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