NDLI: Fundamental frequency estimation using polynomial rooting of a subspace-based method

Content Provider	IEEE Xplore Digital Library
Author	Jensen, J.R. Christensen, M.G. Jensen, S.H.
Copyright Year	2010
Description	Author affiliation: Dept. of Media Technol., Aalborg Univ., Aalborg, Denmark (Christensen, M.G.) \|\| Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark (Jensen, J.R.; Jensen, S.H.)
Abstract	We consider the problem of estimating the fundamental frequency of periodic signals such as audio and speech. A novel estimation method based on polynomial rooting of the harmonic MUltiple SIgnal Classification (HMUSIC) is presented. By applying polynomial rooting, we obtain two significant improvements compared to HMUSIC. First, by using the proposed method we can obtain an estimate of the fundamental frequency without doing a grid search like in HMUSIC. This is due to that the fundamental frequency is estimated as the argument of the root lying closest to the unit circle. Second, we obtain a higher spectral resolution compared to HMUSIC which is a property of polynomial rooting methods. Our simulation results show that the proposed method is applicable to real-life signals, and that we in most cases obtain a higher spectral resolution than HMUSIC.
Starting Page	502
Ending Page	506
File Size	230762
Page Count	5
File Format	PDF
ISSN	22195491
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-23
Publisher Place	Denmark
Access Restriction	Subscribed
Rights Holder	EUSIPCO
Subject Keyword	Monte Carlo methods Estimation Harmonic analysis Frequency estimation Polynomials Covariance matrices Signal to noise ratio
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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