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Please use this identifier to cite or link to this item: http://eprint.iitd.ac.in/handle/2074/1583

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dc.contributor.authorPrasad, S-
dc.contributor.authorHari, K-
dc.date.accessioned2006-04-07T06:26:57Z-
dc.date.available2006-04-07T06:26:57Z-
dc.date.issued1987-
dc.identifier.citationAcoustics, Speech, and Signal Processing IEEE Transactions on, 35(6), 900 - 903en
dc.identifier.urihttp://eprint.iitd.ac.in/dspace/handle/2074/1583-
dc.description.abstractThe canonical variate method of rational system identification is investigated here for its performance in a high-resolution spectral analysis environment. A computationally simple version of the method, due to White [9], is briefly reviewed and applied to several standard examples. It is found that, at the cost of some computational complexity, the method is capable of yielding significantly improved resolution and SNR performance for multiple sinusoids in noise as compared to the computationally efficient high-performance method of Cadzow [8], which can also yield a negative power spectral density estimate under certain conditions. Another interesting feature of this method is that it directly applies to the problem of spectral matrix estimation of a multidimensional time series.en
dc.format.extent76117 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.subjectcanonical variate methoden
dc.subjectSNR performanceen
dc.subjectnegative poweren
dc.titleImproved ARMA spectral estimation using the canonical variate methoden
dc.typeArticleen
Appears in Collections:Electrical Engineering

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