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Meixner Wavelet Transform: A Tool for Studying Stationary Discrete-Time Stochastic Processes

dc.contributor.authorGrafov, B. M.en_US
dc.contributor.authorGrafova, I. B.en_US
dc.date.accessioned2006-09-11T16:28:40Z
dc.date.available2006-09-11T16:28:40Z
dc.date.issued2003-02en_US
dc.identifier.citationGrafova, I. B.; Grafov, B. M.; (2003). "Meixner Wavelet Transform: A Tool for Studying Stationary Discrete-Time Stochastic Processes." Russian Journal of Electrochemistry 39(2): 130-133. <http://hdl.handle.net/2027.42/45795>en_US
dc.identifier.issn1608-3342en_US
dc.identifier.issn1023-1935en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45795
dc.description.abstractA general approach to analyzing discrete stochastic processes in the context of spectral analysis in the Laplace domain is considered. It is shown that a multichannel algorithm, which may be used for determining a discrete Laplace transform of the correlation function corresponding to a stationary discrete-time stochastic process, may be designed on the basis of Meixner wavelets.en_US
dc.format.extent34760 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers-Plenum Publishers; MAIK “Nauka/Interperiodica” ; Springer Science+Business Mediaen_US
dc.subject.otherPhysical Chemistryen_US
dc.subject.otherChemistryen_US
dc.titleMeixner Wavelet Transform: A Tool for Studying Stationary Discrete-Time Stochastic Processesen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelMaterials Science and Engineeringen_US
dc.subject.hlbsecondlevelChemistryen_US
dc.subject.hlbsecondlevelChemical Engineeringen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Economics, University of Michigan, 611 Tappan st., Ann Arbor, Michigan, 48104, USAen_US
dc.contributor.affiliationotherFrumkin Institute of Electrochemistry, Russian Academy of Sciences, Leninskii pr. 31, Moscow, 119071, Russiaen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45795/1/11175_2004_Article_463362.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1022348606667en_US
dc.identifier.sourceRussian Journal of Electrochemistryen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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