Название: Radio Frequency Machine Learning: A Practical Deep Learning PerspectiveАвтор: Scott Kuzdeba
Издательство: Artech House
Год: 2025
Страниц: 265
Язык: английский
Формат: pdf (true), epub
Размер: 31.1 MB
Radio Frequency Machine Learning: A Practical Deep Learning Perspective goes beyond general introductions to Deep Learning, offering a focused exploration of how modern Deep Learning techniques can be applied directly to radio frequency (RF) challenges. It covers a wide range of applications, including classification tasks where Deep Learning is used to label and categorize signals based on a labeled training dataset, as well as clustering tasks that group similar signals together without labels. Additionally, it expands into Deep Learning (Generative AI) for waveform synthesis and how reinforcement learning can be used within the domain. This book also investigates advanced topics like RF sensor control, feedback mechanisms, and real-time system operations, offering a comprehensive understanding of how Deep Learning can be integrated into dynamic RF environments. This resource addresses the practical concerns of deploying Machine Learning in operational RF systems. It goes beyond applications and techniques, covering how to ensure the robustness of solutions, with insights into data sources, augmentation techniques, and strategies for integrating ML with existing RF infrastructure.
