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Spatio-spectral formulation and design of spatially-varying filters for signal estimation on the 2-sphere

Khalid, Zubair; Kennedy, Rodney; Sadeghi, Parastoo; Durrani, Salman

Description

In this paper, we present an optimal filter for the enhancement or estimation of signals on the 2-sphere corrupted by noise, when both the signal and noise are realizations of anisotropic processes on the 2-sphere. The estimation of such a signal in the s

dc.contributor.authorKhalid, Zubair
dc.contributor.authorKennedy, Rodney
dc.contributor.authorSadeghi, Parastoo
dc.contributor.authorDurrani, Salman
dc.coverage.spatialSan Diego United States of America
dc.date.accessioned2015-12-13T22:52:05Z
dc.date.createdAugust 26-29 2013
dc.identifier.isbn9780819497086
dc.identifier.urihttp://hdl.handle.net/1885/81389
dc.description.abstractIn this paper, we present an optimal filter for the enhancement or estimation of signals on the 2-sphere corrupted by noise, when both the signal and noise are realizations of anisotropic processes on the 2-sphere. The estimation of such a signal in the s
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherSPIE - The International Society for Optical Engineering
dc.relation.ispartofWavelets and Sparsity XV
dc.sourceProceedings of SPIE - The International Society for Optical Engineering
dc.titleSpatio-spectral formulation and design of spatially-varying filters for signal estimation on the 2-sphere
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor090600 - ELECTRICAL AND ELECTRONIC ENGINEERING
local.identifier.ariespublicationf5625xPUB9689
local.type.statusPublished Version
local.contributor.affiliationKhalid, Zubair, College of Engineering and Computer Science, ANU
local.contributor.affiliationKennedy, Rodney, College of Engineering and Computer Science, ANU
local.contributor.affiliationSadeghi, Parastoo, College of Engineering and Computer Science, ANU
local.contributor.affiliationDurrani, Salman, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage88580L (1
local.bibliographicCitation.lastpage13)
local.identifier.doi10.1117/12.2023932
local.identifier.absseo970109 - Expanding Knowledge in Engineering
dc.date.updated2015-12-11T10:48:58Z
local.identifier.scopusID2-s2.0-84889058427
local.identifier.thomsonID000326764600015
CollectionsANU Research Publications

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