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  • Blomqvist, AndersKTH,Optimeringslära och systemteori (author)

On the relation between weighted frequency-domain maximum-likelihood power spectral estimation and the prefiltered covariance extension approach

  • Article/chapterEnglish2007

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  • Institute of Electrical and Electronics Engineers (IEEE),2007
  • printrdacarrier

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  • LIBRIS-ID:oai:DiVA.org:kth-16308
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-16308URI
  • https://doi.org/10.1109/tsp.2006.885780DOI

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  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • QC 20100525
  • The aim of this correspondence is to study the connection between weighted frequency-domain maximum-likelihood power spectral estimation and the time-domain prefiltered covariance extension approach. Weighting and prefiltering are introduced to emphasize the model fit in a certain frequency range. The main result is that these two methods are very closely related for the case of autoregressive (AR) model estimation, which implies that both can be formulated as convex optimization problems. Examples illustrating the methods and the effect of prefiltering/weighting are provided.

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  • Wahlberg, Bo,1959-KTH,Reglerteknik,ACCESS Linnaeus Centre,System Identification Group(Swepub:kth)u18c1tfa (author)
  • KTHOptimeringslära och systemteori (creator_code:org_t)

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  • In:IEEE Transactions on Signal Processing: Institute of Electrical and Electronics Engineers (IEEE)55:1, s. 384-3891053-587X1941-0476

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