A Robust and Computationally Efficient Subspace-Based Fundamental Frequency Estimator: SPECIAL ISSUE ON SIGNAL MODELS AND REPRESENTATIONS OF MUSICAL AND ENVIRONMENTAL SOUNDS

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Veröffentlicht in:	IEEE transactions on audio, speech, and language processing speech, and language processing, 2010, Vol.18 (3), p.487-497
Hauptverfasser:	XI ZHANG, Johan, CHRISTENSEN, Mads Græsbtøll, JENSEN, Søren Holdt, MOONEN, Marc
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information theory Information, signal and communications theory Miscellaneous Signal and communications theory Signal processing Signal, noise Telecommunications and information theory
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language	eng
recordid	cdi_pascalfrancis_primary_22447994
source	IEEE Electronic Library (IEL)
subjects	Applied sciences Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information theory Information, signal and communications theory Miscellaneous Signal and communications theory Signal processing Signal, noise Telecommunications and information theory
title	A Robust and Computationally Efficient Subspace-Based Fundamental Frequency Estimator: SPECIAL ISSUE ON SIGNAL MODELS AND REPRESENTATIONS OF MUSICAL AND ENVIRONMENTAL SOUNDS
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