18.327 / 1.130 Wavelets, Filter Banks and Applications

Spring 2003

Two-dimensional scaling function generated using Daubechies' 4-tap wavelet filter.
Two-dimensional scaling function generated using Daubechies' 4-tap wavelet filter. (Image created by Prof. Amaratunga.)

Course Highlights

This cross-disciplinary course on Wavelets, Filter Banks and Applications features a complete set of lecture notesproblem setstools, 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

Special software is required to use some of the files in this course: .m.


*Some translations represent previous versions of courses.

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Staff

Instructors:
Prof. Kevin Amaratunga
Prof. Gilbert Strang

Course Meeting Times

Lectures:
Two sessions / week
1.5 hours / session

Level

Graduate

*Translations