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Blind source separation in frequency domain

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Title: Blind source separation in frequency domain
Authors: Zhou, Yi1, Xu, Boling2 blxu@nju.edu.cn
Source: Signal Processing. Sep2003, Vol. 83 Issue 9, p2037. 10p.
Subjects: Statistics, Oscillations
Abstract: A blind source separation method based on cross-correlation in frequency domain is performed in this paper. Firstly, the pseudo-solution is described and possible treatment is proposed. Then the oscillation of the un-mixing matrix is proved to be the basic aspect that degrades the separation performance for larger frame size. Finally, a novel average of frequency bin method is addressed. Simulations are provided to confirm the validity of the method. [Copyright &y& Elsevier]
Copyright of Signal Processing is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 10426855
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  Data: A blind source separation method based on cross-correlation in frequency domain is performed in this paper. Firstly, the pseudo-solution is described and possible treatment is proposed. Then the oscillation of the un-mixing matrix is proved to be the basic aspect that degrades the separation performance for larger frame size. Finally, a novel average of frequency bin method is addressed. Simulations are provided to confirm the validity of the method. [Copyright &y& Elsevier]
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  Data: <i>Copyright of Signal Processing is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/S0165-1684(03)00134-8
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 2037
    Subjects:
      – SubjectFull: Statistics
        Type: general
      – SubjectFull: Oscillations
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      – TitleFull: Blind source separation in frequency domain
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            NameFull: Zhou, Yi
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            NameFull: Xu, Boling
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            – D: 01
              M: 09
              Text: Sep2003
              Type: published
              Y: 2003
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              Value: 83
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