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Signals, Systems and Information for Media Technology
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CC BY-NC-SA
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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. The undergraduate subject MAS.160 meets with the two half-semester graduate subjects MAS.510 and MAS.511, but assignments differ.

Subject:
Applied Science
Arts and Humanities
Career and Technical Education
Electronic Technology
Engineering
Graphic Arts
Mathematics
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Bove, V.
Picard, Rosalind
Smithwick, Quinn
Date Added:
09/01/2007