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dc.contributor.authorWu, Henry M.en_US
dc.date.accessioned2004-10-04T14:15:55Z
dc.date.available2004-10-04T14:15:55Z
dc.date.issued1993-04-01en_US
dc.identifier.otherAIM-1422en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/5949
dc.description.abstractThe computation of a piecewise smooth function that approximates a finite set of data points is decomposed into two decoupled tasks: first, the computation of the locally smooth models, and hence, the segmentation of the data into classes that consist on the sets of points best approximated by each model, and second, the computation of the normalized discriminant functions for each induced class. The approximating function is then computed as the optimal estimator with respect to this measure field. Applications to image processing and time series prediction are presented as well.en_US
dc.format.extent7 p.en_US
dc.format.extent21528 bytes
dc.format.extent70589 bytes
dc.format.mimetypeapplication/octet-stream
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.relation.ispartofseriesAIM-1422en_US
dc.subjectskewen_US
dc.subjectPLL (phased locked loops)en_US
dc.subjectclock distributionen_US
dc.titleA Method for Eliminating Skew Introduced by Non-Uniform Buffer Delay and Wire Lengths in Clock Distribution Treesen_US


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