Optimally weighted music algorithm for frequency estimation of real harmonic sinusoids

In this paper, the problem of fundamental frequency estimation for real harmonic sinusoids is addressed. By making use of the subspace technique and Markov-based eigenanalysis, an optimally weighted harmonic multiple signal classification (OW-HMUSIC) estimator is devised. The fundamental frequency e...

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Hauptverfasser:	Zhenhua Zhou, So, H. C., Chan, F. K. W.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Covariance matrix Estimation Frequency estimation Fundamental frequency estimation Harmonic analysis harmonic signal Markov optimum weighting multi-pitch Signal to noise ratio subspace method
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creator	Zhenhua Zhou So, H. C. Chan, F. K. W.
description	In this paper, the problem of fundamental frequency estimation for real harmonic sinusoids is addressed. By making use of the subspace technique and Markov-based eigenanalysis, an optimally weighted harmonic multiple signal classification (OW-HMUSIC) estimator is devised. The fundamental frequency estimates are computed in an iterative manner. The performance of the proposed method is derived. Computer simulations are performed to compare the proposed approach with nonlinear least squares and HMUSIC methods as well as Cramér-Rao lower bound.
doi_str_mv	10.1109/ICASSP.2012.6288680
format	Conference Proceeding
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Computer simulations are performed to compare the proposed approach with nonlinear least squares and HMUSIC methods as well as Cramér-Rao lower bound.</description><subject>Accuracy</subject><subject>Covariance matrix</subject><subject>Estimation</subject><subject>Frequency estimation</subject><subject>Fundamental frequency estimation</subject><subject>Harmonic analysis</subject><subject>harmonic signal</subject><subject>Markov optimum weighting</subject><subject>multi-pitch</subject><subject>Signal to noise ratio</subject><subject>subspace method</subject><issn>1520-6149</issn><issn>2379-190X</issn><isbn>1467300454</isbn><isbn>9781467300452</isbn><isbn>9781467300469</isbn><isbn>1467300446</isbn><isbn>9781467300445</isbn><isbn>1467300462</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kEtLAzEUheMLrLW_oJv8gak3z5kspfiCQoWquCtpctNG5lGTKdJ_74h6Nmdx-A73HkKmDGaMgbl5mt-uVs8zDozPNK8qXcEJmZiyYlKXAkBqc0pGXJSmYAbez8jVf6DkORkxxaHQTJpLMsn5AwYNKAg9Im_LfR8bW9dH-oVxu-vR0-aQo6O23nYp9ruGhi7RkPDzgK07Usw_QB-7lnaBJrQ13dnUdO3A5Ngechd9viYXwdYZJ38-Jq_3dy_zx2KxfBieWRSRc-gL5T2y4JXaMG-NA4UCpHMcpOTG6lI5Z7VxQm-sVzJwhY6XQoSNV8aXgYkxmf72RkRc79NwWTqu_yYS3weVWLg</recordid><startdate>20120101</startdate><enddate>20120101</enddate><creator>Zhenhua Zhou</creator><creator>So, H. 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W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i220t-5dde1fd55b1da9c05e304cc204429a675cca69c36bad54f25ec2733fbd59d7f13</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Accuracy</topic><topic>Covariance matrix</topic><topic>Estimation</topic><topic>Frequency estimation</topic><topic>Fundamental frequency estimation</topic><topic>Harmonic analysis</topic><topic>harmonic signal</topic><topic>Markov optimum weighting</topic><topic>multi-pitch</topic><topic>Signal to noise ratio</topic><topic>subspace method</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhenhua Zhou</creatorcontrib><creatorcontrib>So, H. C.</creatorcontrib><creatorcontrib>Chan, F. K. W.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhenhua Zhou</au><au>So, H. C.</au><au>Chan, F. K. 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The performance of the proposed method is derived. Computer simulations are performed to compare the proposed approach with nonlinear least squares and HMUSIC methods as well as Cramér-Rao lower bound.</abstract><pub>IEEE</pub><doi>10.1109/ICASSP.2012.6288680</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record>
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subjects	Accuracy Covariance matrix Estimation Frequency estimation Fundamental frequency estimation Harmonic analysis harmonic signal Markov optimum weighting multi-pitch Signal to noise ratio subspace method
title	Optimally weighted music algorithm for frequency estimation of real harmonic sinusoids
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