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.
Hardcover
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Summary
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.
About the Author
Scott Kuzdeba has been leading the development of RF machine learning (ML) algorithms and systems for over 15 years. He has served in numerous roles including chief scientist, principal investigator, subject matter expert, and capture leader. Currently Dr. Kuzdeba is the director of the Edge and Spectral Artificial Intelligence group within the BAE Systems FAST Labs(TM) research and development organization.
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