6.011 Introduction to Communication, Control, and Signal Processing

As taught in: Spring 2004 - Spring 2005

An illustration of spectral shaping of a white-noise signal.

Spectral shaping of a white-noise signal. (Image by MIT OpenCourseWare. Courtesy of Prof. Alan Oppenheim and Prof. George Verghese.)




Prof. George Verghese

Prof. Alan V. Oppenheim

Course Highlights

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.

Course Description

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 and 6.041. 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.