Deep Learning for Radar and Communications Automatic Target Recognition presents a comprehensive illustration of modern artificial intelligence/machine learning (AI/ML) technology for radio frequency (RF) data exploitation. While numerous textbooks focus on AI/ML technology for non-RF data such as video images, audio speech, and spoken text, there is no such book for data in the RF spectrum. Hence, there is a need for an RF machine learning (ML) book for the research community that captures state-of-the-art AI/ML and deep learning (DL) algorithms and future challenges. Our goals with this book are to provide the practitioner with (i) an overview of the important ML/DL techniques, (ii) an exposition of the technical challenges associated with developing ML methods for RF applications, and (iii) implementation of ML techniques on synthetic aperture radar (SAR) imagery and communication signals classification.

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