Spectral shaping of a white-noise signal. (Image by MIT OCW. Courtesy of Prof. Alan Oppenheim and Prof. George Verghese.)
This course features materials that can be presented in a variety of ways, as reflected by the versions taught in the Spring 2004 and Spring 2005 terms. Those two semesters represent somewhat different approaches, as the syllabi
indicate. For both, the course material references various texts; class notes are also under development.
This course is taken mainly by undergraduates, and explores ideas involving signals, systems and probabilistic models in the context of communication, control and signal processing applications. The material expands out from the basics in 6.003
. The treatment involves aspects of analysis, synthesis, and optimization. Topics covered differ somewhat from semester to semester, but typically include: random processes, correlations, spectral densities, state-space modeling, multirate processing, signal estimation and detection.
*Some translations represent previous versions of courses.