Open Access

An Efficient Algorithm for Instantaneous Frequency Estimation of Nonstationary Multicomponent Signals in Low SNR

  • Jonatan Lerga1,
  • Victor Sucic (EURASIP Member)1Email author and
  • Boualem Boashash2, 3
EURASIP Journal on Advances in Signal Processing20112011:725189

Received: 14 July 2010

Accepted: 11 January 2011

Published: 20 January 2011


A method for components instantaneous frequency (IF) estimation of multicomponent signals in low signal-to-noise ratio (SNR) is proposed. The method combines a new proposed modification of a blind source separation (BSS) algorithm for components separation, with the improved adaptive IF estimation procedure based on the modified sliding pairwise intersection of confidence intervals (ICI) rule. The obtained results are compared to the multicomponent signal ICI-based IF estimation method for various window types and SNRs, showing the estimation accuracy improvement in terms of the mean squared error (MSE) by up to 23%. Furthermore, the highest improvement is achieved for low SNRs values, when many of the existing methods fail.


Mean Square ErrorEstimation AccuracyInstantaneous FrequencyFrequency EstimationFull Article

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Authors’ Affiliations

Faculty of Engineering, University of Rijeka, Rijeka, Croatia
College of Engineering, Qatar University, Doha, Qatar
UQ Centre for Clinical Research, The University of Queensland, Brisbane, Australia


© Jonatan Lerga et al. 2011

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.