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Accurate Reconstruction of Finite Rate of Innovation Signals on the Sphere

Sattar, Yahya; Khalid, Zubair; Kennedy, Rodney

Description

We propose a method for the accurate and robust reconstruction of the non-bandlimited finite rate of innovation signals on the sphere. For signals consisting of a finite number of Dirac functions on the sphere, we develop an annihilating filter based method for the accurate recovery of parameters of the Dirac functions using a finite number of observations of the bandlimited signal. In comparison to existing techniques, the proposed method enables more accurate reconstruction primarily due to...[Show more]

dc.contributor.authorSattar, Yahya
dc.contributor.authorKhalid, Zubair
dc.contributor.authorKennedy, Rodney
dc.coverage.spatialBrighton, UK
dc.date.accessioned2024-02-14T00:57:28Z
dc.date.createdMay 12-17 2019
dc.identifier.isbn978-1-5386-4658-8
dc.identifier.urihttp://hdl.handle.net/1885/313578
dc.description.abstractWe propose a method for the accurate and robust reconstruction of the non-bandlimited finite rate of innovation signals on the sphere. For signals consisting of a finite number of Dirac functions on the sphere, we develop an annihilating filter based method for the accurate recovery of parameters of the Dirac functions using a finite number of observations of the bandlimited signal. In comparison to existing techniques, the proposed method enables more accurate reconstruction primarily due to the better conditioning of systems involved in the recovery of parameters. In order to reconstruct K Diracs on the sphere, the proposed method requires samples of the signal bandlimited in the spherical harmonic ({\text{SH}}) domain at SH degree equal or greater than K + \sqrt {K + \frac{1}{4}} - \frac{1}{2}. In comparison to the existing state-of-the-art technique, the required bandlimit, and consequently the number of samples, of the proposed method is (approximately) the same. We also conduct numerical experiments to demonstrate that the proposed technique is more accurate than the existing methods by a factor of {10^7} or more for 2 \leq K \leq 20.
dc.format.mimetypeapplication/pdf
dc.language.isoen_AU
dc.publisherIEEE
dc.relation.ispartofseries44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019)
dc.rights© 2019 IEEE
dc.sourceProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
dc.subjectUnit sphere
dc.subjectsampling
dc.subjectfinite rate of innovation
dc.subjectsignal reconstruction
dc.subjectspherical harmonic transform
dc.titleAccurate Reconstruction of Finite Rate of Innovation Signals on the Sphere
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2019
local.identifier.absfor400700 - Control engineering, mechatronics and robotics
local.identifier.ariespublicationu3102795xPUB3961
local.publisher.urlhttps://www.ieee.org/
local.type.statusPublished Version
local.contributor.affiliationSattar, Yahya, University of California
local.contributor.affiliationKhalid, Zubair, Lahore University of Management Sciences
local.contributor.affiliationKennedy, Rodney, College of Engineering and Computer Science, ANU
local.description.embargo2099-12-31
local.bibliographicCitation.startpage1727
local.bibliographicCitation.lastpage1731
local.identifier.doi10.1109/ICASSP.2019.8682607
dc.date.updated2022-10-02T07:19:44Z
local.identifier.scopusID2-s2.0-85068974263
CollectionsANU Research Publications

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