Wavelets, Filter Banks and Applications
18.327 · Civil and Environmental Engineering, Mathematics · Graduate · Spring 2003
Prof. Gilbert Strang, Prof. Kevin Amaratunga
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.
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Prof. Gilbert Strang, Prof. Kevin Amaratunga. 18.327 Wavelets, Filter Banks and Applications. Spring 2003. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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