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A new approach to spectral estimation: A tunable high-resolution spectral estimator
KTH, Superseded Departments, Mathematics.ORCID iD: 0000-0002-2681-8383
2000 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 48, no 11, 3189-3205 p.Article in journal (Refereed) Published
Abstract [en]

Traditional maximum entropy spectral estimation determines a power spectrum from covariance estimates. Here, we present a new approach to spectral estimation, which is based on the use of filter banks as a means of obtaining spectral interpolation data, Such data replaces standard covariance estimates, A computational procedure for obtaining suitable pole-zero (ARMA) models from such data is presented. The choice of the zeros (MA-part) of the model is completely arbitrary. By suitably choices of filterbank poles and spectral zeros, the estimator can be tuned to exhibit high resolution in targeted regions of the spectrum.

Place, publisher, year, edition, pages
2000. Vol. 48, no 11, 3189-3205 p.
Keyword [en]
filter banks, interpolation, optimization, spectral estimation, interpolation, realization
URN: urn:nbn:se:kth:diva-20122ISI: 000090044600021OAI: diva2:338815
QC 20100525Available from: 2010-08-10 Created: 2010-08-10Bibliographically approved

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