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Optimizing Correlation Based Frequency Estimators
KTH, Superseded Departments, Signals, Sensors and Systems.
KTH, Superseded Departments, Signals, Sensors and Systems. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-2718-0262
2015 (English)In: European Signal Processing Conference, ISSN 2219-5491, 7072095Article in journal (Refereed) Published
Abstract [en]

As a complement to the periodogram, low-complexity frequency estimators are of interest. One such estimator is based on Prony's method and rely on phase information of the auto-correlations. Both performance and computational complexity are functions of the choice of correlations used in the estimator and often we have a trade off situation. In this paper, frequency estimation from an arbitrary set of estimated auto-correlations is studied. We further introduce a design strategy by optimizing a performance criterion given a predetermined computational constraint. We illustrate this by numerical examples.

Place, publisher, year, edition, pages
EUSIPCO , 2015. 7072095
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-85890ScopusID: 2-s2.0-84960897215OAI: diva2:500199
EUSIPCO'2002 - 11th European Signal Processing Conference; Toulouse, France, 03-06 september 2002

QC 20160526

Available from: 2012-02-13 Created: 2012-02-13 Last updated: 2016-05-26Bibliographically approved

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