DocumentCode
2161657
Title
Blind Source Separation Based on Generalised Canonical Correlation Analysis and Its Adaptive Realization
Author
Liu, Wei ; Mandic, Danilo P. ; Cichocki, Andrzej
Volume
5
fYear
2008
fDate
27-30 May 2008
Firstpage
417
Lastpage
421
Abstract
The canonical correlation analysis (CCA) approach is generalised to accommodate the case with added white noise. It is then applied to the blind source separation (BSS) problem for noisy mixtures. An adaptive blind source extraction algorithm is derived based on this idea. A proof is provided that by this generalised CCA approach, the source signals can be recovered successfully, which is also supported by simulation results.
Keywords
Adaptive signal processing; Autocorrelation; Blind source separation; Covariance matrix; Degradation; Image analysis; Signal analysis; Signal processing algorithms; Source separation; White noise; Blind Source Separation; Canonical Correlation Analysis; Noisy Mixtures;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location
Sanya, China
Print_ISBN
978-0-7695-3119-9
Type
conf
DOI
10.1109/CISP.2008.515
Filename
4566861
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