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dc.contributorLam, Warren Michael.en_US
dc.date.accessioned2004-03-02T18:27:34Z
dc.date.available2004-03-02T18:27:34Z
dc.date.issued1997en_US
dc.identifier.otherno. 614en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/4144
dc.descriptionAlos issued as Thesis (Ph. D.)--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science, 1997.en_US
dc.descriptionIncludes bibliographical references (p. 168-179).en_US
dc.description.sponsorshipSupported by an associated AASERT monitored by the U.S. Army Research Office. DAAH4-95-1-0473 Supported in part by the Defense Advanced Research Projects Agency. monitored by the Dept. of the Navy, Office of Naval Research. N00014-93-1-0686, N00014-96-1-0930 Supported in part the U.S. Air Force Office of Scientific Research. F49620-96-1-0072en_US
dc.description.statementofresponsibilityWarren Michael Lam.en_US
dc.format.extent170 p.en_US
dc.format.extent8067094 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherResearch Laboratory of Electronics, Massachusetts Institute of Technologyen_US
dc.relation.ispartofseriesTechnical report (Massachusetts Institute of Technology. Research Laboratory of Electronics) ; no. 614.en_US
dc.subject.lccTK7855.M41 R43 no.614en_US
dc.titleMultiscale methods for the analysis and application of fractal point processes and queuesen_US


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