Contains 60 contributions comprising the proceedings of the April 1996 MRS symposium, held in San Francisco, covering a range of activity in the III-V compound semiconductor electronics and photonics
Drawing on over twenty years of teaching experience, this comprehensive yet self-contained text provides an in-depth introduction to the field of integrated microwave electronics. Ideal for a first course on the subject, it covers essential topics such as passive components and transistors, linear, low-noise and power amplifiers, and microwave measurements. An entire chapter is devoted to CAD techniques for analysis and design, covering examples of easy-to-medium difficulty for both linear and non-linear subsystems, and supported online by ADS and AWR project files. More advanced topics are also covered, providing an up-to-date overview of compound semiconductor technologies and treatment of electromagnetic issues and models. Readers can test their knowledge with end-of-chapter questions and numerical problems, and solutions and lecture slides are available online for instructors. This is essential reading for graduate and senior undergraduate students taking courses in microwave, radi
This authoritative account of electronic and optoelectronic devices operating at frequencies greater than 1 GHz covers the concepts and fundamental principles of operation, and, uniquely, their circuit applications too. Key features include: • a comprehensive coverage of electron devices, such as MESFET, HEMT, RF MOSFET, BJT and HBT, and their models • discussions of semiconductor devices fabricated in a variety of material systems, such as Si, III-V compound semiconductors, and Si-Ge • a description of light-emitting diodes, semiconductor lasers and photodetectors • plentiful real-world examples • end-of-chapter problems to test understanding of the material covered From crystal structure to atomic bonding, recombination and radiation in semiconductors to p-n junctions and heterojunctions, a wide range of critical topics is covered. Optimization algorithms, such as simulated annealing and neural network applications, are also discussed. Graduate students in electrical engineering, in
