DocumentCode
2916246
Title
Blind Source Extraction
Author
Leong, Wai Yie
Author_Institution
Singapore Inst. of Manuf. Technol., Singapore
fYear
2008
fDate
17-20 Dec. 2008
Firstpage
1672
Lastpage
1677
Abstract
In this paper, we proposed blind source extraction (BSE) technique for signal overlapping problem. The BSE method consists of an additional cascaded nonlinear model, which assists in blind extraction and also reduces the remaining deflation noise. In order to perform simultaneous the nonlinearity estimation and source extraction, a nonlinear cost function is introduced which optimises for both the independence of sources and inverse of the nonlinearity. A rigorous analysis is provided and the existence and uniqueness conditions for the solutions are given. Simulation results are presented which illustrate the validity of the proposed approach.
Keywords
blind source separation; blind source extraction; cascaded nonlinear model; nonlinear cost function; signal overlapping problem; Adaptive algorithm; Algorithm design and analysis; Analytical models; Automatic control; Manufacturing automation; Robot control; Robotics and automation; Sensor phenomena and characterization; Source separation; Statistics; Blind source separation; blind source extraction; cascaded nonlinear model; deflation; post-nonlinear model;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
Conference_Location
Hanoi
Print_ISBN
978-1-4244-2286-9
Electronic_ISBN
978-1-4244-2287-6
Type
conf
DOI
10.1109/ICARCV.2008.4795778
Filename
4795778
Link To Document