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dc.creatorKadirvel, Sunitha
dc.date.accessioned2012-06-07T22:49:12Z
dc.date.available2012-06-07T22:49:12Z
dc.date.created1997
dc.date.issued1997
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-1997-THESIS-K33
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en
dc.descriptionIncludes bibliographical references: p. 30-32.en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractWavelets are being widely used in the area of signal compression and have given very good results but a lot of attention has been given to image compression and audio compression but not to speech compression in particular. This work explores the use of wavelets in speech compression by developing a speech codec using the Discrete Wavelet Transform. The performance of this codec for different wavelet functions has been analyzed. The codec developed is based on subband coding and ADPCM. The performance of this codec has also been compared to the one developed in [1], which makes use of FIR filters for subband coding.en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. 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 engineering.en
dc.subjectMajor electrical engineering.en
dc.titleSoftware based low bit rate speech codec using the Discrete Wavelet Transformen
dc.typeThesisen
thesis.degree.disciplineelectrical engineeringen
thesis.degree.nameM.S.en
thesis.degree.levelMastersen
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen


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