ℓp-norm based iterative adaptive approach for robust spectral analysis

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Pages (from-to)144-148
Journal / PublicationSignal Processing
Issue number1
Publication statusPublished - 2014


Recently, the iterative adaptive approach (IAA) has been shown to be an effective nonparametric methodology for high-resolution spectral analysis. Its main idea is to reformulate the nonlinear frequency estimation problem as a linear model whose parameters are updated iteratively according to weighted least squares. Since the derivation of the IAA is based on ℓ2- norm, it cannot work properly in heavy-tailed noise environment. In this paper, a generalized version of IAA is derived to provide accurate spectral estimation in the presence of impulsive noise, which replaces the ℓ2-norm by the ℓp-norm where 1

Research Area(s)

  • Impulsive noise, Iterative adaptive approach, Iteratively reweighted least squares, Spectral analysis