Digital Systems Projects - Nagvajara, Prawat
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Digital Systems Projects provides electrical and computer engineering students with a complete guide to the key concepts, tools, and design and implementation approaches they need to fully understand and produce successful embedded systems. The opening chapter offers an overview of digital systems; design on field-programmable gate arrays (FPGA); and design, implementation, and verification on FPGA. Additional chapters cover logic blocks; synchronous circuits and their hardware descriptions; mapping algorithms to hardware; arithmetical hardware and packages; and asynchronous interfaces.…mehr

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Produktbeschreibung
Digital Systems Projects provides electrical and computer engineering students with a complete guide to the key concepts, tools, and design and implementation approaches they need to fully understand and produce successful embedded systems. The opening chapter offers an overview of digital systems; design on field-programmable gate arrays (FPGA); and design, implementation, and verification on FPGA. Additional chapters cover logic blocks; synchronous circuits and their hardware descriptions; mapping algorithms to hardware; arithmetical hardware and packages; and asynchronous interfaces. Students learn about design with intellectual property cores, design verification with test application, embedded design, and high-level synthesis. Dedicated topical explorations include hardware description language, Boolean algebra and logic functions, state machines, data-dependency graphs, signal processing algorithms, handshake and bus protocol, memory and data storage, and software applications for hardware verification and embedded systems. Each chapter features do-it-yourself tutorials and hands-on exercises to help students build their skillsets and apply key learnings. A thorough and informative textbook, Digital Systems Projects is ideal for novice, intermediate, and advanced courses in electrical and computer engineering.
Autorenporträt
Prawat Nagvajara is an associate professor of electrical and computer engineering in the College of Engineering at Drexel University, where he teaches courses in the discipline and conducts research in embedded vision. He holds a Ph.D. from Boston University and an M.S. and B.S. in electrical engineering from Northeastern University.