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dc.contributor.advisorTummala, Murali
dc.contributor.authorErdemir, Alper
dc.dateJune 1993
dc.date.accessioned2014-03-26T23:23:14Z
dc.date.available2014-03-26T23:23:14Z
dc.date.issued1993-06
dc.identifier.urihttp://hdl.handle.net/10945/39786
dc.descriptionApproved for public release; distribution is unlimited.en_US
dc.description.abstractThis thesis proposes a new analysis/synthesis procedure for speech and image compression. The algorithm applies the discrete wavelet transform to subject data in order to obtain a set of multiresolution wavelet coefficients. The wavelet coefficients are then encoded by using the generalized Lloyd algorithm. The statistical properties of the wavelet coefficients are utilized to determine the number of resolution levels as well as the codebook size at each resolution level. Coding results show that the new procedure provides a significant improvement in the quality of the reproduced data. The tested data includes speech, image, and transient signals.en_US
dc.description.urihttp://archive.org/details/datcompressionby1094539786
dc.format.extent74 p.en_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsCopyright is reserved by the copyright owner.en_US
dc.titleData compression by using wavelet transforms and vector quantizationen_US
dc.typeThesisen_US
dc.contributor.secondreaderTherrien, Charles W.
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentElectrical Engineering
dc.subject.authorWavelet transformsen_US
dc.subject.authorVector quantizationen_US
dc.subject.authorSpeech codingen_US
dc.subject.authorImage codingen_US
dc.description.serviceLieutenant, J.G., Turkish Navyen_US
etd.thesisdegree.nameM.S. in Electrical Engineeringen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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