Courses > Mathematics > Wavelets, Filter Banks and Applications Wavelets are localized basis functions, good for representing short-time events
Courses > Mathematics > Wavelets, Filter Banks and Applications 18.327 / 1.130 Wavelets, Filter Banks and ApplicationsSpring 2003
Two-dimensional scaling function generated using Daubechies' 4-tap wavelet filter. (Image created by Prof. Amaratunga.)
Course HighlightsThis cross-disciplinary course on Wavelets, Filter Banks and Applications features a complete set of lecture notes, problem sets, tools, and related resources.
Course DescriptionWavelets 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 RequirementsMATLAB® software is required to run the .m files found on this course site. *Some translations represent previous versions of courses. Courses > Mathematics > Wavelets, Filter Banks and Applications Download this Course18-327Spring-2003.zip (ZIP - 6.65 MB) Click the link above to start downloading this course. You may need to download file decompression software such as WinZip or StuffIt to open the .ZIP file. For more information about downloading and using zipped courses, read our Frequently Asked Questions. All of the Materials included in the .ZIP file are governed by the same Creative Commons license that governs use of materials published on the MIT OCW page. |
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