Parameter estimation of superimposed sinusoids by data matrix subfactorization: Analysis and results


Estimating parameters of a sum of complex exponentials in white noise is considered in this paper. A simplified maximum likelihood estimation algorithm based on subfactorization of a structured data matrix is proposed, and we show that parameterization of the data model in signal space allows to improve estimation accuracy at low signal-to noise ratio (SNR… (More)

3 Figures and Tables


  • Presentations referencing similar topics