dc.contributor.author	Strang, Prof. Gilbert
dc.contributor.author	Amaratunga, Prof. Kevin
dc.date.accessioned	2014-07-02T15:01:13Z
dc.date.available	2014-07-02T15:01:13Z
dc.date.issued	2003
dc.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.	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/150
dc.publisher	MIT Course Number	en_US
dc.title	Wavelets, Filter Banks and Applications (PDF)	en_US

Wavelets, Filter Banks and Applications (PDF)

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