Successive structuring of source coding algorithms for data fusion, buffering, and distribution in networks
Name
RLE-TR-661-51547840.pdf
Size
10.17 MB
Format
Adobe PDF
Checksum (MD5)
9ecae557c47a6fbe03aa0c9c626092c8
Date Issued
2002
Series/Report no.
Technical report (Massachusetts Institute of Technology. Research Laboratory of Electronics) ; 661.
Abstract
(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.
Description
Supervised by Gregory W. Wornell.
Also issued as Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
Includes bibliographical references (p. 159-165).
MIT Department
Massachusetts Institute of Technology. Research Laboratory of Electronics
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