Journal
SIGNAL PROCESSING
Volume 91, Issue 1, Pages 150-154Publisher
ELSEVIER
DOI: 10.1016/j.sigpro.2010.06.010
Keywords
Multi-pitch estimation; Noise subspace; Orthogonality; Cyclic minimizer
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Funding
- Marie Curie Fellowship [MEST-CT-2005-021175]
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In this paper, we present an iterative method for estimation of pitches from signals containing multiple sources using subspace techniques. The resulting estimator is termed Iterative Harmonic MUltiple Signal Classification (I-HMUSIC). Different modifications of I-HMUSIC are proposed that improve upon the classical MUSIC algorithm, including a computationally efficient method for noise subspace updating I-HMUSIC and its modifications are evaluated and compared with both the Cramer-Rao lower bound (CRLB) and non-iterative HMUSIC; good statistical performances have been obtained. (C) 2010 Elsevier B.V. All rights reserved.
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