Title :
Towards Adaptive Blind Extraction of Post-Nonlinearly Mixed Signals
Author :
Leong, Wai Yie ; Mandic, Danilo P.
Author_Institution :
Dept. of Electron. & Electr. Eng., Imperial Coll. London, London
Abstract :
A novel approach which extends blind source extraction (BSE) of one or group of sources to the case of post-nonlinear mixtures is proposed. This is achieved by an adaptive algorithm in which the cost function jointly estimates the kurtosis and a measure of nonlinearity. The analysis of both the quantitative and qualitative performance is provided, and simulation results are presented which illustrate the validity of the proposed approach.
Keywords :
adaptive signal processing; blind source separation; estimation theory; adaptive blind extraction; blind source extraction; cost function; kurtosis estimation; post-nonlinearly mixed signals; Adaptive signal processing; Analytical models; Biomedical signal processing; Data mining; Educational institutions; Power system modeling; Sensor phenomena and characterization; Signal processing; Signal processing algorithms; Statistics;
Conference_Titel :
Machine Learning for Signal Processing, 2006. Proceedings of the 2006 16th IEEE Signal Processing Society Workshop on
Conference_Location :
Arlington, VA
Print_ISBN :
1-4244-0656-0
Electronic_ISBN :
1551-2541
DOI :
10.1109/MLSP.2006.275528
