Michael Carter received the B.S.E. in Electrical Engineering (summa cum laude) from the University of Michigan in 1975, the M.S. in Electrical Engineering from Stanford University in 1976, and the Ph.D. in Computer, Information, and Control Engineering from the University of Michigan in 1984. He won a number of scholarships and awards in academia, including the Distinguished Undergraduate Achievement Award of the Electrical and Computer Engineering Department at the University of Michigan. From 1984 to 1987 he was a member of the technical staff at MIT Lincoln Laboratory where he was in the Satellite Communication Systems Engineering Group and the Optical Communication Technology Group. Since September 1987 he has been a member of the Department of Electrical and Computer Engineering at the University of New Hampshire. In 1989 he was awarded an Analog Devices Inc. Career Development Professorship and a General Electric Foundation Young Faculty Grant. He is a member of IEEE, Tau Beta Pi, Eta Kappa Nu, and Sigma Xi. He is a licensed Professional Engineer in the state of New Hampshire.
Professor Carter has long taught courses primarily in the communication systems and signal processing areas, but he also enjoys teaching both analog and digital circuit design, control systems, and especially likes helping students troubleshoot their design projects in the laboratory. He developed and teaches a popular course on design of renewable energy conversion systems that emphasizes photovoltaic and wind turbine generators.
Professor Carter's principal current research interests are in technical and public policy issues in renewable energy conversion systems and energy efficiency. He has previously worked in the areas of data compression theory, neural network fault tolerance, computational neuroscience, and physical layer synchronization systems for network data communications at rates up to 10 Gb/s.
Ph.D., Computer/Information Serv. Adm, University of Michigan
Ph.D., Engineering, University of Michigan
M.S., Electrical&Electronic Eng. Tec, Stanford University
B.S.E., Electrical&Electronic Eng. Tec, University of Michigan
ECE 602: Engineering Analysis
ECE 634: Signals and Systems II
ECE 651: Electronic Design II
ECE 757: Fundmtls Communication Systems
ECE 796: SpcTop/Renew Elec Pwr Sys
ECE 857: Fundmtls Communication Systems
ECE 939: Stat Theory of Communications
ECE 940: Information Theory
ECE 941: Digital Signal Processing
ECE 999: Doctoral Research
Segee, B. E., & Carter, M. J. (1994). Comparative fault tolerance of parallel distributed processing networks. IEEE Transactions on Computers, 43(11), 1323-1329. doi:10.1109/12.324565