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| Blind Signal Extraction Based on Subspace over
High Noise Source Background |
| Huang Xiao-bin①; Liu Hai-tao①; Wan Jian-wei①; Hu De-wen②; |
①College of Electronics Science and Technology, National of University of Defense Technology, Changsha 410073, China;
②College of Mechatronics and Automation, National University of Defense Technology, Changsha 410073, China |
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Abstract It is a difficult problem to denoise in the low SNR, recently, Emir et al present a novel ICA denoising method, this method has been successfully applied to the function optical imaging. But in the very low SNR circumstance, because of the covariance matrix of the observed signals being singularity, the ICA denoising method can not be used. In order to resolve this problem, a new SICA denoising method based on the signal subspace is presented in this paper. The simulations show that compared to the ICA denoising method and the traditional filtering denoising methods, the method can not only get rid of the noise, but can successfully separation the signals.
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Received: 09 March 2005
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2006, Vol. 28 
