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Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.sigpro.2006.06.014
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dc.titleConvergence analysis of the NOJA algorithm using the ODE approach
dc.contributor.authorAttallah, S.
dc.contributor.authorManton, J.H.
dc.contributor.authorAbed-Meraim, K.
dc.date.accessioned2014-06-17T02:43:01Z
dc.date.available2014-06-17T02:43:01Z
dc.date.issued2006-11
dc.identifier.citationAttallah, S., Manton, J.H., Abed-Meraim, K. (2006-11). Convergence analysis of the NOJA algorithm using the ODE approach. Signal Processing 86 (11) : 3490-3495. ScholarBank@NUS Repository. https://doi.org/10.1016/j.sigpro.2006.06.014
dc.identifier.issn01651684
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/55433
dc.description.abstractSome time ago, we proposed two normalized versions of Oja's algorithm (NOja and NOOja) and gave some results concerning their convergence performance for the estimation of the signal and noise subspaces of a sequence of random vectors. In this paper, we comment on NOja results using the ordinary differential equation (ODE) concept. © 2006 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.sigpro.2006.06.014
dc.sourceScopus
dc.subjectNOja's algorithm
dc.subjectNOOja's algorithm
dc.subjectODE analysis
dc.subjectSubspace estimation
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1016/j.sigpro.2006.06.014
dc.description.sourcetitleSignal Processing
dc.description.volume86
dc.description.issue11
dc.description.page3490-3495
dc.description.codenSPROD
dc.identifier.isiut000241093500037
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