| A novel blind deconvolution algorithm using single frequency bin |
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| 作者姓名： | ZHANG Gui-bao LI Jia-wen LI Cong-xin |
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| 作者单位： | National Die ＆ Mold CAD Engineering Research Center, Shanghai Jiao Tong University, Shanghai 200030, China |
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| 基金项目： | Project （No. 2005EB040486） supported by the National Torch Program of China |
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| 摘 要： | Former frequency-domain blind devolution algorithms need to consider a large number of frequency bins and recover the sources in different orders and with different amplitudes in each frequency bin,so they suffer from permutation and amplitude indeterminacy troubles. Based on sliding discrete Fourier transform,the presented deconvolution algorithm can directly recover time-domain sources from frequency-domain convolutive model using single frequency bin. It only needs to execute blind sepa-ration of instantaneous mixture once there are no permutation and amplitude indeterminacy troubles. Compared with former algorithms,the algorithm greatly reduces the computation cost as only one frequency bin is considered. Its good and robust per-formance is demonstrated by simulations when the signal-to-noise-ratio is high.
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| 关 键 词： | 信号处理 频率 信噪比 盲重叠算法 |
| 收稿时间： | 29 November 2006 |
| 修稿时间： | 2006-11-292007-04-29 |
A novel blind deconvolution algorithm using single frequency bin |
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| ZHANG Gui-bao LI Jia-wen LI Cong-xin.A novel blind deconvolution algorithm using single frequency bin[J].Journal of Zhejiang University Science,2007,8(8):1271-1276. |
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| Authors: | Zhang Gui-bao Li Jia-wen Li Cong-xin |
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| Institution: | (1) National Die & Mold CAD Engineering Research Center, Shanghai Jiao Tong University, Shanghai, 200030, China |
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| Abstract: | Former frequency-domain blind devolution algorithms need to consider a large number of frequency bins and recover the sources in different orders and with different amplitudes in each frequency bin,so they suffer from permutation and amplitude indeterminacy troubles. Based on sliding discrete Fourier transform,the presented deconvolution algorithm can directly recover time-domain sources from frequency-domain convolutive model using single frequency bin. It only needs to execute blind sepa-ration of instantaneous mixture once there are no permutation and amplitude indeterminacy troubles. Compared with former algorithms,the algorithm greatly reduces the computation cost as only one frequency bin is considered. Its good and robust per-formance is demonstrated by simulations when the signal-to-noise-ratio is high. |
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| Keywords: | Blind deconvolution Single frequency bin Convolutive mixture |
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