This book is the foundation building book for all engineers starting out to design PCBs. It teaches good habits designing a PCB, first for connectivity, and secondly, introduces the four most important principles to reduce noise.

A seven-step process is presented: developing a plan of record, creating a Bill of Materials, completing the schematic, completing the layout, completing the assembly, conducting bring up and troubleshooting and documenting the project. Each step is developed in detail. In particular, the emphasis in this book is on risk management: what can be done at each step of the process to reduce the risk of a hard-error which requires a complete re-spin, or a soft error, which requires some sort of on-the-fly repair.

Covers basic concepts and examples for the modeling and simulation (M&S) of modern radar and electronic warfare (EW) systems and reviews radar principles, including the radar equation. M&S techniques are introduced, and example models developed in MATLAB(R) and Simulink(R) are presented and discussed in detail. The book reviews fundamentals and modeling examples for the three pillars of EW: electronic attack (EA) systems, electronic protection (EP) techniques, and electronic support (ES). The radar-target engagement model is extended to include jamming models and is used to illustrate the interaction between radar and jamming signals and the impact on radar detection and tracking. In addition, several classic EA techniques are introduced and modeled, and the effects on radar performance are explored.

This comprehensive resource derives physics-based microscale model equations,

then continuum-scale model equations, and finally reduced-order model equations.

This book describes the commonly used equivalent-circuit-type battery model

and develops equations for superior physics-based models of lithium-ion cells at

different length scales.

This book presents a breakthrough technology called the discrete-time realization

algorithm that automatically converts physics-based models into high-fidelity

approximate reduced-order models. These reduced-order models have similar

computational complexity to equivalent-circuit-type models, but can also predict

electrochemical variables at any spatial location inside the cell.

This book provides a comprehensive resource and thorough treatment of the latest development of digital RF memory (DRFM) technology and its key role in maintaining dominance over the electromagnetic spectrum. Part I discusses the use of advanced technology to design transceivers for spectrum sensing using unmanned systems. Part II explains how artificial intelligence and machine learning enable modern spectrum sensing and detection signal processing for electronic support and electronic attack. Counter-DRFM techniques are also examined. DRFM and transceiver design details and examples are provided along with MATLAB(R) software, allowing readers to construct their own embedded DRFM transceivers for unmanned systems.

This practical book establishes a solid foundation for understanding the essential principles of how signals interact with transmission lines. These insights are the basis of the best design and best measurement practices for single-ended and differential transmission lines. Readers can confidently use these guidelines to avoid common mistakes. They will learn how to leverage rules of tumb, approximations, 2D filed solvers, and TDR measurements to extract the important figures of merit and obtain an acceptable, verified design, faster. Complex engineering principles are explained in a simplified but practical way.