Blind source separation

M Girolami. Self-Organizing Neural Networks Independent Component Analysis and Blind Source Separation. Springer-Verlag, London, UK, 1991. [Pg.283]

The first factorial method we considered in this chapter was PCA. Although this is the most common projection method in multivariate analysis, PCA could not solve what is known as the blind source separation problem. Imagine a cocktail party where you... [Pg.165]

In this study, the force de-noising is solved as a bhnd source separation (BSS) problem. Blind source separation (Comon, 1994) is a form of signal separation technique which blindly estimates individual source components from their received mixtures at sensors. In BSS, the m observed signals Xi k) i = 1,2,... nt) are linear mixed combinations of n... [Pg.144]

Choy, S., Cichocki, A., Park, H-M. and Lee, S-Y. (2005) Blind source separation and independent component analysis a review. Neural Information Processing - Letters and Reviews, 6 1-57. [Pg.95]

The EOG and EMG artifacts were removed before the EEG data was further processed. An automatic EEG artifact removal method that combines the Blind Source Separation method with the Wavelet method is used here. The EEG signals are first decomposed into independent components using the Second Order Blind Identification (SOBI)... [Pg.512]

Ng SC and Raveendran P (2009) Enhanced p rhythm extraction using Blind Source Separation and Wavelet Transform. Biomed Eng, IEEE Trans. 54(8) 2024-2034. [Pg.515]

Blind source separation Modal identification Sparse representation Structural health monitoring Time-frequency analysis... [Pg.280]

ICA is popularly used to estimate the blind source separation (BSS) model (Hyvarinen and Oja 2000),... [Pg.281]

Antoni J, Chuahan S (2013) A study and extension of second-order blind source separation to operational modal analysis. J Sound Vib 332 1079-1106... [Pg.297]

Gribonval R, Lesage S (2006) A survey of sparse component analysis for blind source separation principles, perspectives, and new challenges. In Proceedings of European symposium on artificial neural networks, Bruges, Apr 2006, pp 323-330... [Pg.297]

Poncelet F, Kerschen G, Golinval J-C, Verhelst D (2007) Output-only modal analysis using blind source separation techniques. Mech Syst Signal Process 21 2335-2358... [Pg.297]

Sadhn A, Hazra B, Narasimhan S, Pandey MD (2011) Decentralized modal identification using sparse blind source separation. Smart Mater Struct 20 125009... [Pg.297]

Stone JV (2001) Blind source separation using tmnpmal predictability. Neural Comput 13 1559-1574... [Pg.297]

Yang Y, Nagarajaiah S (2013a) Time-frequency blind source separation using independent component analysis for output-rally modal identification of highly-damped structures. ASCE J Struct Eng 139(10) 1780-1793... [Pg.297]

Zhou W, Chelidze D (2007) Blind source separation based vibration mode identification. Mech Syst Signal Process 21(8) 3072-3087... [Pg.298]

Comon P, Jutten C. Handbook of blind source separation, independent component analysis and applications. Oxford, UK Academic Press 2010. [Pg.139]

Removing Noise and Artifacts from EEG Using Adaptive Noise Cancelator and Blind Source Separation... [Pg.283]

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