Signal Processing: Continuous and Discrete
As taught in: Fall 2008
Data from instruments can be analyzed using filters to enhance different features; here, a deconvolution filter extracts a more detailed image from a blurry photo taken by the Hubble telescope. (Image by Prof. Derek Rowell.)
Instructors:
Prof. Derek Rowell
MIT Course Number:
2.161
Level:
Graduate
Course Features
Course Description
This course provides a solid theoretical foundation for the analysis and processing of experimental data, and real-time experimental control methods. Topics covered include spectral analysis, filter design, system identification, and simulation in continuous and discrete-time domains. The emphasis is on practical problems with laboratory exercises.
