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dc.contributor.advisorGibson, Jerry
dc.creatorSayood, Khali
dc.descriptionTypescript (photocopy).en
dc.description.abstractQuantization plays an important role in most communication schemes, yet, though extensive results are available for scalar quantization, till recent years very little appeared in the literature concerning the design of vector quantizers. This work presents the first algorithm for designing uniform vector quantizers for various blocklengths (dimensions), which does not utilize a training sequence. The algorithm is motivated by a separation technique which has appeared in the literature and uses least dense covering lattices to generate the quantizers. The algorithm is used to generate quantizers for blocklength up to nine. These are compared with the best available quantizers in the literature and found to compare favorably. The quantizers are used to transform code an image. The results show the improvement to be obtained over scalar quantization. Coding strategies are also presented for both small and large codebooks.en
dc.format.extentix, 75 leavesen
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.subjectElectrical Engineeringen
dc.subject.classification1982 Dissertation S275
dc.subject.lcshGeometric quantizationen
dc.titleAn algorithm for designing vector quantizersen
dc.typeThesisen A&M Universityen of Philosophyen D. in Philosophyen
dc.contributor.committeeMemberFischer, Thomas R.
dc.contributor.committeeMemberGriswold, Norman C.
dc.contributor.committeeMemberPainter, John
dc.contributor.committeeMemberParzen, Emmanuel
dc.format.digitalOriginreformatted digitalen
dc.publisher.digitalTexas A&M University. Libraries

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