| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 566736 | Signal Processing | 2011 | 5 Pages |
Abstract
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 Cramér–Rao lower bound (CRLB) and non-iterative HMUSIC; good statistical performances have been obtained.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Johan Xi Zhang, Mads Græsbøll Christensen, Søren Holdt Jensen, Marc Moonen,