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dc.contributor.authorPagès Zamora, Alba Maria
dc.contributor.authorLagunas Hernandez, Miguel A.
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2016-07-01T07:20:41Z
dc.date.available2016-07-01T07:20:41Z
dc.date.issued1996
dc.identifier.citationPages, A., Lagunas, M. Joint probability density function estimation by spectral estimate methods. A: IEEE International Conference on Acoustics, Speech, and Signal Processing. "ICASSP 1996: the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing: conference proceedings: May 7-10, 1996: Marriott Marquis Hotel, Atlanta, Georgia". Atlanta, Georgia: Institute of Electrical and Electronics Engineers (IEEE), 1996, p. 2936-2939.
dc.identifier.isbn0-7803-3192-3
dc.identifier.urihttp://hdl.handle.net/2117/88437
dc.description.abstractThe estimation of probability density functions (PDFs) of a given random variable (r.v.) is involved in topics related to codification, speech or whenever a short record of data is available but a greater amount is needed. Existing methods go from the so-called minimum description-length method, up to others based on the maximisation of the differential entropy imposing constraints on the moments of the r.v. In this paper we propose to estimate a PDF function by means of spectral estimate methods, since the positiveness and the real character of any PDF function allow us to deal with it as a power spectrum density function. Particularly, the minimum variance method is focused on because it can be generalised to multidimensional problems, being used in this paper to estimate the joint-PDF function of a multidimensional r.v
dc.format.extent4 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshProbabilities
dc.subject.lcshSpectrum analysis
dc.subject.otherEstimation theory
dc.subject.otherProbability
dc.subject.otherRandom processes
dc.subject.otherEpectral analysis
dc.titleJoint probability density function estimation by spectral estimate methods
dc.typeConference report
dc.subject.lemacProbabilitats
dc.subject.lemacAnàlisi espectral
dc.contributor.groupUniversitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions
dc.identifier.doi10.1109/ICASSP.1996.550169
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=550169
dc.rights.accessOpen Access
local.identifier.drac18712150
dc.description.versionPostprint (published version)
local.citation.authorPages, A.; Lagunas, M.
local.citation.contributorIEEE International Conference on Acoustics, Speech, and Signal Processing
local.citation.pubplaceAtlanta, Georgia
local.citation.publicationNameICASSP 1996: the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing: conference proceedings: May 7-10, 1996: Marriott Marquis Hotel, Atlanta, Georgia
local.citation.startingPage2936
local.citation.endingPage2939


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