Nonlinear Modeling Analysis and Predistortion Algorithm Research of Radio Frequency Power Amplifiers (Hardcover)

This book is a summary of a series of achievements made by the authors and colleagues in the areas of radio frequency power amplifier modeling (including neural Volterra series modeling, neural network modeling, X-parameter modeling), nonlinear analysis methods, and power amplifier predistortion technology over the past 10 years. The book is organized into ten chapters, which respectively describe an overview of research of power amplifier behavioral models and predistortion technology, nonlinear characteristics of power amplifiers, power amplifier behavioral models and the basis of nonlinear analysis, an overview of power amplifier predistortion, Volterra series modeling of power amplifiers, power amplifier modeling based on neural networks, power amplifier modeling with X-parameters, the modeling of other power amplifiers, nonlinear circuit analysis methods, and predistortion algorithms and applications. Blending theory with analysis, this book will provide researchers and RF/microwave engineering students with a valuable resource.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Release date:	July 2021
First published:	2022
Authors:	Jingchang Nan • Mingming Gao
Contributors:	Wei Guo
Dimensions:	229 x 152 x 26mm (L x W x T)
Format:	Hardcover
Pages:	360
ISBN-13:	978-1-03-201026-7
Categories:	Books > Professional & Technical > Environmental engineering & technology > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Microwave technology Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > Radio technology
LSN:	1-03-201026-6
Barcode:	9781032010267

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