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Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/13144
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DC FieldValueLanguage
dc.contributor.authorJayawardena, Ashokaen
dc.contributor.authorRadford, Chrisen
dc.contributor.authorMurison, Roberten
dc.date.accessioned2013-07-30T14:58:00Z-
dc.date.created2002en
dc.date.issued2002-
dc.identifier.urihttps://hdl.handle.net/1959.11/13144-
dc.description.abstractTraditionally wavelet basis is an orthonormal basis of L²(R), which is formed by translations and dilations of a single wavelet function which is usually known as the mother wavelet. After Mallat and Meyer developed multiresolution analysis, the relationship of wavelet bases to filter bank theory was established. Multiresolution analysis introduced a new function called scaling function. It also enabled us to first design the scaling function and then complete the filter bank to obtain the wavelet function. Probably the most important notions wavelets added to the filter bank theory are vanishing moments and regularity.en
dc.languageenen
dc.titleWavelet Filter Banks and Applicationsen
dc.typeThesis Doctoralen
dcterms.accessRightsUNE Greenen
local.contributor.firstnameAshokaen
local.contributor.firstnameChrisen
local.contributor.firstnameRoberten
dcterms.RightsStatementCopyright 2002 - Ashoka Jayawardenaen
dc.date.conferred2002en
local.thesis.degreelevelDoctoralen
local.thesis.degreenameDoctor of Philosophyen
local.contributor.grantorUniversity of New Englanden
local.profile.schoolSchool of Science and Technologyen
local.profile.emailajayawa2@une.edu.auen
local.profile.emailrmurison@une.edu.auen
local.output.categoryT2en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordvtls008678056en
local.access.fulltextYesen
local.contributor.lastnameJayawardenaen
local.contributor.lastnameRadforden
local.contributor.lastnameMurisonen
dc.identifier.staffune-id:ajayawa2en
dc.identifier.staffune-id:cradforden
dc.identifier.staffune-id:rmurisonen
local.profile.roleauthoren
local.profile.rolesupervisoren
local.profile.rolesupervisoren
local.identifier.unepublicationidune:13356en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleWavelet Filter Banks and Applicationsen
local.output.categorydescriptionT2 Thesis - Doctorate by Researchen
local.thesis.borndigitalnoen
local.search.authorJayawardena, Ashokaen
local.search.supervisorRadford, Chrisen
local.search.supervisorMurison, Roberten
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/0d5b3f56-cde3-49f2-b054-53d73f802effen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/e141410c-d8b8-47fc-9ee3-493453f49a8fen
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/9fb51121-fb13-4691-a115-3713b9d36003en
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/5d5bd912-ea7c-4bb7-990b-5ac1c0366cc4en
local.open.fileurlhttps://rune.une.edu.au/web/retrieve/28f29b2e-3697-4d54-92ac-79de9d519d64en
local.uneassociationYesen
local.year.conferred2002en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/0d5b3f56-cde3-49f2-b054-53d73f802effen
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/9fb51121-fb13-4691-a115-3713b9d36003en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/28f29b2e-3697-4d54-92ac-79de9d519d64en
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/e141410c-d8b8-47fc-9ee3-493453f49a8fen
local.fileurl.openhttps://rune.une.edu.au/web/retrieve/5d5bd912-ea7c-4bb7-990b-5ac1c0366cc4en
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