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ARM Microcontrollers: Theory and Practical Applications provides students with a concise yet complete introduction to embedded systems, namely microcontroller products based on the ARM microprocessor. Opening chapters offer students an introduction to digital logic, embedded system, and ARM processors, covering such topics as CMOS logic, number systems, embedded system design, and Cortex-M4 architecture. Additional chapters explore ARM Cortex-M assembly language, C programming in embedded systems, and peripheral modules, which provides many examples of how to program peripherals like Timers,…mehr

Produktbeschreibung
ARM Microcontrollers: Theory and Practical Applications provides students with a concise yet complete introduction to embedded systems, namely microcontroller products based on the ARM microprocessor. Opening chapters offer students an introduction to digital logic, embedded system, and ARM processors, covering such topics as CMOS logic, number systems, embedded system design, and Cortex-M4 architecture. Additional chapters explore ARM Cortex-M assembly language, C programming in embedded systems, and peripheral modules, which provides many examples of how to program peripherals like Timers, ADC, PWM, UART, and more. Students learn about interrupts and exceptions, Bluetooth low energy, and Wi-Fi. The final chapter features nine projects designed to help students connect what they learn within the textbook to real-world applications, including traffic light controllers, smart plant watering systems, weather stations, solar panel trackers, and more. Exercises within each chapter encourage engagement and a collection of helpful appendices provide students with the reference materials they need to complete projects and apply critical skillsets. Featuring a highly accessible and practical approach, ARM Microcontrollers is an ideal textbook for courses and programs in electrical engineering.
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Autorenporträt
Hung "Harry" Q. Le, Ph.D. is an instructional assistant professor in the Cullen College of Engineering at the University of Houston. He holds a Ph.D. in electrical engineering from the University of Houston and a M.Sc. in electrical engineering from the University of Alberta. Dr. Le has over 30 years of experience in research and development within the computer, telecom, aviation, and oil and gas industries. His research interests include embedded systems, IoT, reconfigurable systems, ASIC/FPGA design and verification, memory controllers, machine learning, and deep learning. He has 21 U.S.-issued patents and is a senior member of the National Academy of Inventors and a life senior member of the IEEE.