Fast communication: An iterative subspace-based multi-pitch estimation algorithm

  • Authors:
  • Johan Xi Zhang;Mads Græsbøll Christensen;Søren Holdt Jensen;Marc Moonen

  • Affiliations:
  • Department of Electronic Systems, Aalborg University, Aalborg, Denmark;Department of Media Technology, Aalborg University, Aalborg, Denmark;Department of Electronic Systems, Aalborg University, Aalborg, Denmark;Department of Electrical Engineering, Katholieke Universiteit Leuven, Leuven, Belgium

  • Venue:
  • Signal Processing
  • Year:
  • 2011

Quantified Score

Hi-index 0.08

Visualization

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 Cramer-Rao lower bound (CRLB) and non-iterative HMUSIC; good statistical performances have been obtained.