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BLIND EXTRACTION OF IMPROPER QUATERNION SOURCES

Source Separation and Applications

Full Paper at IEEE Xplore

Presented by: Danilo P. Mandic, Author(s): Soroush Javidi, Clive Cheong Took, Cyrus Jahanchahi, Imperial College London, United Kingdom; Nicolas Le Bihan, GIPSA-Lab, France; Danilo P. Mandic, Imperial College London, United Kingdom

Blind extraction of quaternion-valued latent sources is addressed based on their local temporal properties. The extraction criterion is based on the minimum mean square widely linear prediction error, thus allowing for the extraction of both proper and improper quaternion sources. The use of the widely linear adaptive predictor is justified by the relationship between the mean square prediction error and the crosscorrelation and cross-pseudocorrelations of the source signals. Simulations on benchmark improper quaternion sources together with a real-world example of EEG artifact removal illustrate the usefulness of the proposed methodology.

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  Lecture Information

Recorded: 2011-05-26 09:50 - 10:10, Club B
Added: 22. 6. 2011 03:01
Number of views: 22
Video resolution: 1024x576 px, 512x288 px
Video length: 0:21:49
Audio track: MP3 [7.39 MB], 0:21:49