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| New Method of Blind Source Separation Based on Gabor Transform |
| Shen Yong-Jun; Zhang Guang-Ming; Yang Shao-Pu; Zhang Geng-Ning |
| Department of Mechanical Engineering, Shijiazhuang Railway Institute, Shijiazhuang 050043 China |
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Abstract A new method of Blind Source Separation (BSS) based on Gabor transform is proposed. Compared with the traditional BSS methods, this new method could obtain the estimate of the mixing matrix so as to separate the mixing signals based on the characteristics of time-frequency distribution of the source signals. Even if the source signals are correlative, or there are more than one Gaussian signals in the sources, one could get better separation performance by this new method. The simulation results show the feasibility and validity of the method, which may provide a new research direction for blind signal separation.
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Received: 01 January 1900
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2010, Vol. 29 
