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Ambiguity Function and Wigner Distribution on the Sphere

dc.contributor.authorKhalid, Zubair
dc.contributor.authorDurrani, Salman
dc.contributor.authorSadeghi, Parastoo
dc.contributor.authorKennedy, Rodney
dc.coverage.spatialKyoto Japan
dc.date.accessioned2015-12-10T23:16:05Z
dc.date.createdMarch 25-30 2012
dc.date.issued2012
dc.date.updated2015-12-10T09:49:53Z
dc.description.abstractThe ambiguity function and the Wigner distribution are fundamental tools in the time-frequency analysis. In this paper, we present an analog of the ambiguity function and the Wigner distribution for signals on the sphere. First, we formulate the ambiguity function for signals on the sphere which represents the signals in joint spatio-spectral domain and derive an inversion operation to obtain the signal from its ambiguity function. Next, we formulate the Wigner distribution for azimuthally symmetric signals on the sphere as a two dimensional spherical harmonics transform of the ambiguity function. We provide the matrix formulation of the Wigner distribution and discuss some of its useful properties. Finally, we illustrate the use of Wigner distribution for spatial and/or spectral localization of a signal in joint spatio-spectral domain. The obtained results provide the first step in designing more sophisticated transforms on the sphere.
dc.identifier.isbn9781467300469
dc.identifier.urihttp://hdl.handle.net/1885/64914
dc.publisherIEEE Signal Processing Society
dc.relation.ispartofseriesIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012)
dc.titleAmbiguity Function and Wigner Distribution on the Sphere
dc.typeConference paper
local.bibliographicCitation.lastpage3408
local.bibliographicCitation.startpage3405
local.contributor.affiliationKhalid, Zubair, College of Engineering and Computer Science, ANU
local.contributor.affiliationDurrani, Salman, College of Engineering and Computer Science, ANU
local.contributor.affiliationSadeghi, Parastoo, College of Engineering and Computer Science, ANU
local.contributor.affiliationKennedy, Rodney, College of Engineering and Computer Science, ANU
local.contributor.authoruidKhalid, Zubair, u4761490
local.contributor.authoruidDurrani, Salman, u4243008
local.contributor.authoruidSadeghi, Parastoo, u4267276
local.contributor.authoruidKennedy, Rodney, u8607590
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor090609 - Signal Processing
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.ariespublicationu4334215xPUB1019
local.identifier.doi10.1109/ICASSP.2012.6288647
local.identifier.scopusID2-s2.0-84867600795
local.type.statusPublished Version

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