Signals, Systems and Information for Media Technology
Free, no sign-up neededFall 2007English
About this course
This class teaches the fundamentals of signals and information theory with emphasis on modeling audio/visual messages and physiologically derived signals, and the human source or recipient. Topics include linear systems, difference equations, Z-transforms, sampling and sampling rate conversion, convolution, filtering, modulation, Fourier analysis, entropy, noise, and Shannon’s fundamental theorems. Additional topics may include data compression, filter design, and feature detection.
Description from MIT OpenCourseWare.
Where to take this course
- Open MIT OpenCourseWare (new tab)MIT OpenCourseWare · Fall 2007