A blind components separation procedure for FM signal analysis

B. Barkat, K. Abed-Meraim

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


In this paper, we propose a novel algorithm to select and extract separately all the components, using the time-frequency distribution (TFD), of a given multicomponent frequency-modulated (FM) signal. This algorithm does not use any a priori information about the various components. However, its performance highly depends on the cross-terms suppression ability and high time-frequency resolution of the considered TFD. The algorithm is compared with the higher-order ambiguity function (HAF) algorithm for the estimation of the phase-coefficients of a multicomponent signal. Monte Carlo simulations results show the superiority of the proposed algorithm.

Original languageBritish English
Pages (from-to)1425-1428
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - 2002


Dive into the research topics of 'A blind components separation procedure for FM signal analysis'. Together they form a unique fingerprint.

Cite this