A clustering approach for the blind separation of multiple finite alphabet sequences from a single linear mixture

DOI10.1016/j.sigpro.2005.06.014zbMath1163.94327OpenAlexW2124355451WikidataQ62696105 ScholiaQ62696105MaRDI QIDQ1027282

Konstantinos I. Diamantaras

Publication date: 1 July 2009

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2005.06.014

zbMATH Keywords

BSSblind source separationfinite alphabet signalsoverdetermined mixturessingle mixture

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (3)

Statistical Methods for Minimax Estimation in Linear Models with Unknown Design Over Finite Alphabets ⋮ A Bayesian framework for molecular strain identification from mixed diagnostic samples ⋮ Multiscale blind source separation

Uses Software

• FastICA

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