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dc.contributor.authorAhmed, A.*
dc.contributor.authorHu, Yim Fun*
dc.contributor.authorPillai, Prashant*
dc.date.accessioned2016-10-07T14:25:01Z
dc.date.available2016-10-07T14:25:01Z
dc.date.issued2013
dc.identifier.citationAhmed A, Hu YF and Pillai P (2013) Universal approach for estimating unknown frequencies for unknown number of sinusoids in a signal. In: Constantinides International Workshop on Signal Processing. 25 Jan 2013. London: IET: 1-4.
dc.identifier.urihttp://hdl.handle.net/10454/9595
dc.descriptionNo
dc.description.abstractThis paper presents a new approach to estimate the unknown frequencies of the constituent sinusoids in a noiseless signal. The signal comprising of unknown number of sinusoids of unknown amplitudes and unknown phases is measured in the time domain. The Hankel matrix of measured samples is used as a basis for further analysis in the Pisarenko harmonic decomposition. A new constraint, the Existence Factor (EF), has been introduced in the methodology based on the relationship between the frequencies of the unknown sinusoids and the eigenspace of Hankel matrix of signal's samples. The accuracy of the method has been tested through multiple simulations on different signals with an unknown number of sinusoidal components. Results showed that the proposed method has efficiently estimated all the unknown frequencies.
dc.relation.isreferencedbyhttps://doi.org/10.1049/ic.2013.0015
dc.subjectHankel matrix; Frequency estimation; Pisarenko harmonic decomposition
dc.titleUniversal approach for estimating unknown frequencies for unknown number of sinusoids in a signal
dc.status.refereedYes
dc.typeConference Paper
dc.type.versionNo full-text available in the repository


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