Signals, Systems and Information for Media Technology

Diagram of Huffman Coding for phrase 'How much wood can a woodchuck chuck?' overlaid on photo of various iPods.

This course explores the mathematical foundations of digital media. For instance, see recitations 6 and 7 for an explanation of MP3 compression using the phrase "How much wood can a woodchuck chuck?" (iPod photo courtesy of >> GUM <<.)

Instructor(s)

MIT Course Number

MAS.160 / MAS.510 / MAS.511

As Taught In

Fall 2007

Level

Undergraduate / Graduate

Cite This Course

Course Features

Course Description

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.

Picard, Rosalind, V. Bove, and Quinn Smithwick. MAS.160 Signals, Systems and Information for Media Technology, Fall 2007. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/media-arts-and-sciences/mas-160-signals-systems-and-information-for-media-technology-fall-2007 (Accessed). License: Creative Commons BY-NC-SA


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