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Successive structuring of source coding algorithms for data fusion, buffering, and distribution in networks

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dc.contributor Draper, Stark Christiaan.
dc.date 2004-03-02T18:26:15Z
dc.date 2004-03-02T18:26:15Z
dc.date 2002
dc.date 2002
dc.date.accessioned 2013-10-09T02:34:01Z
dc.date.available 2013-10-09T02:34:01Z
dc.date.issued 2013-10-09
dc.identifier http://hdl.handle.net/1721.1/4107
dc.identifier.uri http://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.description by Stark Christiaan Draper.
dc.description Supervised by Gregory W. Wornell.
dc.description Also issued as Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
dc.description Includes bibliographical references (p. 159-165).
dc.format 165 p.
dc.format 10665234 bytes
dc.format application/pdf
dc.language eng
dc.relation Technical report (Massachusetts Institute of Technology. Research Laboratory of Electronics) ; 661.
dc.title Successive structuring of source coding algorithms for data fusion, buffering, and distribution in networks


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