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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2007, Vol. 8 Issue (8): 1271-1276    DOI: 10.1631/jzus.2007.A1271
Information Science     
A novel blind deconvolution algorithm using single frequency bin
ZHANG Gui-bao, LI Jia-wen, LI Cong-xin
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 separation 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 performance is demonstrated by simulations when the signal-to-noise-ratio is high.

Key words： Deciduous dentition      Perioral force      Pressure transducer      Class III malocclusion     
Received: 29 November 2006     
CLC:  TN911  
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ZHANG Gui-bao
LI Jia-wen
LI Cong-xin
Cite this article:

ZHANG Gui-bao, LI Jia-wen, LI Cong-xin. A novel blind deconvolution algorithm using single frequency bin. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2007, 8(8): 1271-1276.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.2007.A1271     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2007/V8/I8/1271

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