Novel deep learning approaches are achieving state-of-the-art accuracy in the area of radar target recognition, enabling applications beyond the scope of human-level performance. This book provides an introduction to the unique aspects of machine learning for radar signal processing that any scientist or engineer seeking to apply these technologies ought to be aware of.

This book deals with the basic theory for design and analysis of Low Probability of Intercept (LPI) radar systems. The design of one such multi-frequency high resolution LPI radar, PANDORA, is covered. This work represents the first time that the topic of multi-frequency radars is discussed in such detail and it is based on research conducted by the author in The Netherlands. The book provides the design tools needed for development, design, and analysis of high resolution radar systems for commercial as well as military applications. Software written in MATLAB and C++ is provided to guide the reader in calculating radar parameters and in ambiguity function analysis. Some radar simulation software is also included.

Engineering companies and other organizations face many serious challenges in the 21st Century. One that is now becoming widely recognized is the loss of corporate knowledge through staff turnover, whether it is natural or forced through downsizing or delayering. A company's store of knowledge and expertise is an asset built up through the learning and experience of its employees.

This fully revised and updated third edition of Digital Techniques for Wideband Receivers offers a comprehensive design guide for digital processing work with today's complex receiver systems.