Embedded Systems Design with the Texas Instruments MSP432 32-bit Processor - Dang, Dung;Pack, Daniel J.;Barrett, Steven F.
53,49 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
payback
0 °P sammeln
  • Broschiertes Buch

This book provides a thorough introduction to the Texas Instruments MPS432(TM) microcontroller. The MPS432 is a 32-bit processor with the ARM Cortex M4F architecture and a built-in floating point unit. At the core, the MSP432 features a 32-bit ARM Cortex-M4F CPU, a RISC-architecture processing unit that includes a built-in DSP engine and a floating point unit. As an extension of the ultra-low-power MSP microcontroller family, the MSP432 features ultra-low power consumption and integrated digital and analog hardware peripherals. The MSP432 is a new member to the MSP family. It provides for a…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
This book provides a thorough introduction to the Texas Instruments MPS432(TM) microcontroller. The MPS432 is a 32-bit processor with the ARM Cortex M4F architecture and a built-in floating point unit. At the core, the MSP432 features a 32-bit ARM Cortex-M4F CPU, a RISC-architecture processing unit that includes a built-in DSP engine and a floating point unit. As an extension of the ultra-low-power MSP microcontroller family, the MSP432 features ultra-low power consumption and integrated digital and analog hardware peripherals. The MSP432 is a new member to the MSP family. It provides for a seamless transition to applications requiring 32-bit processing at an operating frequency of up to 48 MHz. The processor may be programmed at a variety of levels with different programming languages including the user-friendly Energia rapid prototyping platform, in assembly language, and in C. A number of C programming options are also available to developers, starting with register-level access code where developers can directly configure the device's registers, to Driver Library, which provides a standardized set of application program interfaces (APIs) that enable software developers to quickly manipulate various peripherals available on the device. Even higher abstraction layers are also available, such as the extremely user-friendly Energia platform, that enables even beginners to quickly prototype an application on MSP432. The MSP432 LaunchPad is supported by a host of technical data, application notes, training modules, and software examples. All are encapsulated inside one handy package called MSPWare, available as both a stand-alone download package as well as on the TI Cloud development site: dev.ti.com The features of the MSP432 may be extended with a full line of BoosterPack plug-in modules. The MSP432 is also supported by a variety of third party modular sensors and software compiler companies. In the back, a thorough introduction to the MPS432 line of microcontrollers,programming techniques, and interface concepts are provided along with considerable tutorial information with many illustrated examples. Each chapter provides laboratory exercises to apply what has been presented in the chapter. The book is intended for an upper level undergraduate course in microcontrollers or mechatronics but may also be used as a reference for capstone design projects. Practicing engineers already familiar with another microcontroller, who require a quick tutorial on the microcontroller, will also find this book very useful. Finally, middle school and high school students will find the MSP432 highly approachable via the Energia rapid prototyping system.
Autorenporträt
Dung Dang has served as an applications engineer for Texas Instruments since 2007. He has served in various positions with the MSP430 and MSP432 microcontroller product lines and now serves as the MSP432 Platform Marketing Manager. He is an advocate of open-source platforms to allow ready adoption of microcontroller innovations in education and industry. He is the technical founder of the TI LaunchPad ecosystem. His service has taken him worldwide for customer field training and support. On a daily basis he collaborates with teams in Germany, India, China, and the U.S. Dung Dang holds an MSEE degree from Saint Mary's University at San Antonio, concentrating on embedded systems and image processing. He served as a Research Assistant at Saint Mary's for two years. Daniel J. Pack is the Dean of the College of Engineering and Computer Science at the University of Tennessee, Chattanooga (UTC). Prior to joining UTC, he was Professor and Mary Lou Clarke Endowed Chair of the Electrical and Computer Engineering Department at the University of Texas, San Antonio, after serving as Professor (now Professor Emeritus) of Electrical and Computer Engineering at the United States Air Force Academy (USAFA), CO, where he served as Director of the Academy Center for Unmanned Aircraft Systems Research. He received a Bachelor of Science degree in Electrical Engineering, a Master of Science degree in Engineering Sciences, and a Ph.D. degree in Electrical Engineering from Arizona State University, Harvard University, and Purdue University, respectively. He also spent a year as a visiting scholar at the Massachusetts Institute of Technology-Lincoln Laboratory. Dr. Pack has co-authored seven textbooks on embedded systems (including 68HC12 Microcontroller: Theory and Applications and Embedded Systems: Design and Applications with the 68HC12 and HCS12) and published over 130 book chapters, technical journal/transactions, and conference papers on unmanned systems, cooperative control, robotics, pattern recognition, and engineering education. He is the recipient of a number of teaching and research awards including Carnegie U.S. Professor of the Year Award, Frank J. Seiler Research Excellence Award, Tau Beta Pi Outstanding Professor Award, Academy Educator Award, and Magoon Award. He is a member of Eta Kappa Nu (Electrical Engineering Honorary), Tau Beta Pi (Engineering Honorary), IEEE (senior member), and the American Society of Engineering Education. He is a registered Professional Engineer in Colorado and currently serves as Editor-at-Large for Journal of Intelligent & Robotic Systems and as Associate Editor for IEEE Systems Journal. His research interests include unmanned aerial vehicles, intelligent control, automatic target recognition, robotics, and engineering education. Steven F. Barrett, Ph.D., P.E., received a B.S. in Electronic Engineering Technology from the University of Nebraska Lincoln (Omaha campus) in 1979, a M.E. in Electrical Engineering from the University of Idaho at Moscow in 1986, and a Ph.D. in Electrical Engineering from The University of Texas at Austin in 1993. He was formally an active duty faculty member at the United States Air Force Academy, Colorado and now serves as the Associate Dean of Academic Programs and professor of electrical and computer engineering at the University of Wyoming. He is a member of IEEE (senior) and Tau Beta Pi (chief faculty advisor). His research interests include digital and analog image processing, computer-assisted laser surgery, and embedded controller systems. He is a registered Professional Engineer in Wyoming and Colorado and serves on the Wyoming State Board of Professional Engineers and Surveyors. He has co-written several textbooks on microcontrollers and embedded systems. In 2004, Barrett was named ""Wyoming Professor of the Year"" by the Carnegie Foundation for the Advancement of Teaching and in 2008 was the recipient of the National Society of Professional Engineers (NSPE) Professional Engineers in Higher Education, Engineering Education Excellence Award.