Simple algorithms for decorrelation-based blind source separation

S.C. Douglas1
1Department of Electrical Engineering, Southern Methodist University, Dallas, TX, USA

Tóm tắt

We present simple adaptive algorithms that perform blind source separation for spatially-independent and temporally-correlated source signals. The proposed algorithms are modified versions of a well-known natural gradient prewhitening scheme, and the simplest version has almost the same complexity as this prewhitening method. We provide a stationary point analysis of our schemes, proving that the only locally-stable stationary point results in separated sources with unit variances and a guaranteed output ordering. We also show how to modify the approaches so that joint subspace analysis and decorrelation-based source separation are performed. Simulations verify the separation capabilities of the schemes.

Từ khóa

#Decorrelation #Blind source separation #Source separation #Statistics #Iterative algorithms #Adaptive algorithm #Analysis of variance #Performance analysis #Gradient methods #Algorithm design and analysis

Tài liệu tham khảo

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