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dc.contributorDraper, Stark Christiaan.-
dc.date2004-03-02T18:26:15Z-
dc.date2004-03-02T18:26:15Z-
dc.date2002-
dc.date2002-
dc.date.accessioned2013-10-09T02:34:01Z-
dc.date.available2013-10-09T02:34:01Z-
dc.date.issued2013-10-09-
dc.identifierhttp://hdl.handle.net/1721.1/4107-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.description(cont.) We also explore the interactions between source coding and queue management in problems of buffering and distributing distortion-tolerant data. We formulate a general queuing model relevant to numerous communication scenarios, and develop a bound on the performance of any algorithm. We design an adaptive buffer-control algorithm for use in dynamic environments and under finite memory limitations; its performance closely approximates the bound. Our design uses multiresolution source codes that exploit the data's distortion-tolerance in minimizing end-to-end distortion. Compared to traditional approaches, the performance gains of the adaptive algorithm are significant - improving distortion, delay, and overall system robustness.-
dc.descriptionby Stark Christiaan Draper.-
dc.descriptionSupervised by Gregory W. Wornell.-
dc.descriptionAlso issued as Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.-
dc.descriptionIncludes bibliographical references (p. 159-165).-
dc.format165 p.-
dc.format10665234 bytes-
dc.formatapplication/pdf-
dc.languageeng-
dc.relationTechnical report (Massachusetts Institute of Technology. Research Laboratory of Electronics) ; 661.-
dc.titleSuccessive structuring of source coding algorithms for data fusion, buffering, and distribution in networks-
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