Abstract
In this paper, we propose analytical formulas that involve second-order statistics for separating two signals. The method utilizes source decorrelation and correlation function diversity. In particular, the proposed SOBAS (second-order blind analytical separation) algorithm differs from the ASOBI (analytical second-order blind identification) algorithm in that it does not require prior knowledge or estimation of the noise variance. Computer simulations demonstrate the effectiveness of the proposed method.
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Meziane, A.M.B., Chonavel, T., Aïssa-El-Bey, A. et al. An analytical derivation for second-order blind separation of two signals. Ann. Telecommun. 73, 711–717 (2018). https://doi.org/10.1007/s12243-018-0635-6
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DOI: https://doi.org/10.1007/s12243-018-0635-6