dc.contributor.authorReju, Vaninirappuputhenpurayil Gopalan
dc.contributor.authorKoh, Soo Ngee
dc.contributor.authorSoon, Ing Yann
dc.identifier.citationReju, V. G., Koh, S. N., & Soon, I. Y. (2009). An algorithm for mixing matrix estimation in instantaneous blind source separation. Signal Processing, 89, 1762-1773.en_US
dc.description.abstractSparsity of signals in the frequency domain is widely used for blind source separation (BSS) when the number of sources is more than the number of mixtures (underdetermined BSS). In this paper we propose a simple algorithm for detection of points in the Time-Frequency (TF) plane of the instantaneous mixtures where only single source contributions occur. Samples at these points in the TF plane can be used for the mixing matrix estimation. The proposed algorithm identifies the single-source points (SSPs) by comparing the absolute directions of the real and imaginary parts of the Fourier transform coefficient vectors of the mixed signals. Finally, the SSPs so obtained are clustered using the hierarchical clustering algorithm for the estimation of the mixing matrix. The proposed idea for the SSP identification is simpler than the previously reported algorithms.en_US
dc.format.extent27 p.en_US
dc.relation.ispartofseriesSignal processingen_US
dc.rights© 2009 Elsevier. This is the author created version of a work that has been peer reviewed and accepted for publication by Signal Processing, Elsevier.  It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document.  The published version is available at: [DOI: http://dx.doi.org/10.1016/j.sigpro.2009.03.017].en_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
dc.titleAn algorithm for mixing matrix estimation in instantaneous blind source separationen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.versionAccepted versionen_US

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