Skip to content


  • Research Article
  • Open Access

Algorithms for Blind Components Separation and Extraction from the Time-Frequency Distribution of Their Mixture

EURASIP Journal on Advances in Signal Processing20042004:978487

Received: 20 February 2003

Published: 5 October 2004


We propose novel algorithms to select and extract separately all the components, using the time-frequency distribution (TFD), of a given multicomponent frequency-modulated (FM) signal. These algorithms do not use any a priori information about the various components. However, their performances highly depend on the cross-terms suppression ability and high time-frequency resolution of the considered TFD. To illustrate the usefulness of the proposed algorithms, we applied them for the estimation of the instantaneous frequency coefficients of a multicomponent signal and the results are compared with those of the higher-order ambiguity function (HAF) algorithm. Monte Carlo simulation results show the superiority of the proposed algorithms over the HAF.

Keywords and phrases

time-frequency signal analysiscomponents separationpolynomial phase signalsinstantaneous frequency estimation

Authors’ Affiliations

School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Signal and Image Processing Department, École National Supérieure des Télécommunications, Telecom Paris, Paris, France


© Barkat and Abed-Meraim 2004