Multilinear algebra for independent component analysis

John E. McWhirter; Ira J. Clarke; G. Spence

doi:10.1117/12.367642

2 November 1999 Multilinear algebra for independent component analysis

John E. McWhirter, Ira J. Clarke, G. Spence

Proceedings Volume 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX; (1999) https://doi.org/10.1117/12.367642
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

It is shown how some simple multilinear transformations may be used to generate an alternative, and potentially faster, version of the BLISS algorithm for blind signal separation. The BLISS algorithm performs an independent component analysis of the type proposed by Comon but uses a different method for estimating the pairwise rotation angles. It has been applied to a wide range of communication signals and proved extremely successful in practice. The reformulated version of BLISS requires less arithmetic operations provided the number of signals to be separated is fairly small (approximately 3 to 5) as found in a range of important communication scenarios.

Citation Download Citation

John E. McWhirter, Ira J. Clarke, and G. Spence "Multilinear algebra for independent component analysis", Proc. SPIE 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, (2 November 1999); https://doi.org/10.1117/12.367642

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