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Highlights of this Course
This cross-disciplinary course on Wavelets, Filter Banks and Applications features a complete set of lecture notes, problem sets, tools, and related resources.
Course Description
Wavelets are localized basis functions, good for representing short-time events. The coefficients at each scale are filtered and subsampled to give coefficients at the next scale. This is Mallat's pyramid algorithm for multiresolution, connecting wavelets to filter banks. Wavelets and multiscale algorithms for compression and signal/image processing are developed. Subject is project-based for engineering and scientific applications.
Technical Requirements
MATLAB® software is required to run the .m files found on this course site.
MATLAB® is a trademark of The MathWorks, Inc.
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| Staff |
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Instructors:
Prof. Kevin Amaratunga
Prof. Gilbert Strang
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| Course Meeting Times |
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Lectures:
Two sessions / week
1.5 hours / session
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| Level |
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Graduate
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