Title :
Blind Source Separation Based on Generalised Canonical Correlation Analysis and Its Adaptive Realization
Author :
Liu, Wei ; Mandic, Danilo P. ; Cichocki, Andrzej
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;
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, China
Print_ISBN :
978-0-7695-3119-9
DOI :
10.1109/CISP.2008.515
