Signals, systems and information for media technology

Bachelor's degree

In Maynard (USA)

Price on request

Description

  • Type

    Bachelor's degree

  • Location

    Maynard (USA)

  • Start date

    Different dates available

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.

Facilities

Location

Start date

Maynard (USA)
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02139

Start date

Different dates availableEnrolment now open

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Subjects

  • Media
  • Technology
  • Systems

Course programme

Lectures: 2 sessions / week, 1.5 hours / session


Recitations: 1 session / week, 1 hour / session


The undergraduate and graduate versions of this class meet together. MAS.160 is the undergraduate subject number. The graduate version has additional assignments, and is split into a pair of half-semester subjects, MAS.510 and MAS.511.


18.02 Calculus II


For MAS.511, the prerequisite is either MAS.510 or 6.003 Circuits and Systems.


McClellan, J. H., R. W. Schafer, and M. A. Yoder. DSP First: A Multimedia Approach. East Rutherford, NJ: Prentice Hall, 1998. ISBN: 9780132431712.


Shannon, C. E., and W. Weaver. The Mathematical Theory of Communication. Champaign, IL: University of Illinois Press, 1998. ISBN: 9780252725463. [Download a copy of the original 1948 paper by Shannon (PDF - 4.43MB), upon which the book is based, from Bell Labs.]


Karu, Zoher Z. Signals and Systems Made Ridiculously Simple. Huntsville, AL: ZiZi Press, 1995. ISBN: 9780964375215.


MATLAB will be used throughout the semester.


There will be two in-class quizzes. Both are open-book and open-notes, and we suggest bringing along a calculator that knows about trigonometric functions.


Your grade will be determined as a weighted average:



We think collaboration is a fine thing, and encourage studying in groups and discussing the topics covered in class. However, for homework problems the work you hand in should be done at least 95% by you alone. If you can think of a system that gives a good evaluation of individual performance and is even better at facilitating learning of this material, please suggest it to us.


We realize that many of our students lead complicated and demanding lives, and will allow you to hand in up to two problem sets late — without penalty — as long as you get permission from one of the faculty or TAs at least a day in advance of the regular due date. The delay is limited, however, and under no circumstances will you receive credit for a problem set after we have made available the solutions.


The calendar below provides information on the course's lecture (L) and recitation (R) sessions.


Overview of subjects to be covered during the term; basic math concepts; notation; vocabulary. Representation of systems


Complex exponentials


Spectrum plots, AM


Problem set 1 due


Problem set 2 out


Fourier series, frequency modulation (FM)


Definition of orthogonality; Walsh functions and other basis sets; discrete Fourier basis matrix


Problem set 2 due


Problem set 3 out


Sampling theorem, aliasing


Reconstruction


Problem set 3 due


Problem set 4 out


Ergodic processes/Markov models; choice, uncertainty and entropy; Shannon's fundamental theorem for a noiseless channel; entropy coding


Discrete channels with noise; continuous channels; error detection and correction


FIR filters. Impulse response. Convolution


Implementations of general LTI systems


Quiz review


FIR filters, impulse response, convolution, block diagrams


Response of FIR systems; properties


Problem set 5 due


Problem set 6 out


Definitions; convolution and the Z-transform; poles and zeros


Problem set 6 due


Problem set 7 out


Definitions; impulse response and frequency response


Inverse Z-transform; stability; partial fraction expansion


The DFT; fast algorithms


The DTFT


Real-world modulation and demodulation methods; spread-spectrum


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Signals, systems and information for media technology

Price on request