Wavelets, Filter Banks and Applications

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.)

Instructor(s)

MIT Course Number

18.327 / 1.130

As Taught In

Spring 2003

Level

Graduate

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Course Features

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.

Strang, Gilbert, and Kevin Amaratunga. 18.327 Wavelets, Filter Banks and Applications, Spring 2003. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/mathematics/18-327-wavelets-filter-banks-and-applications-spring-2003 (Accessed). License: Creative Commons BY-NC-SA


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