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Adaptive optimal kernel smooth-windowed Wigner-Ville bispectrum for digital communication signals

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Title: Adaptive optimal kernel smooth-windowed Wigner-Ville bispectrum for digital communication signals
Authors: Tan, Jo Lynn tjolynn82@yahoo.co.uk, Sha’ameri, Ahmad Zuri bin1 ahmadzs@yahoo.com
Source: Signal Processing. Apr2011, Vol. 91 Issue 4, p931-937. 7p.
Subjects: Kernel functions, Digital communications, Digital signal processing, Random noise theory, Spectrum analysis, Performance evaluation, Adaptive signal processing
Abstract: Abstract: Higher-order time–frequency distribution (HO-TFD) outperforms the bilinear TFD in noisy conditions but suffers more severely from cross-terms when used to analyze multi-component signals. Various kernel functions have been introduced to suppress cross-terms in bilinear TFD but in general TFD with a fixed kernel do not give accurate TFR for all type of signals. In this paper, adaptive optimal TFR is obtained by extending the separable kernel design in bilinear TFD to the third-order TFD and is able to achieve accurate time–frequency representation at SNR as low as −2dB. This globally adaptive optimal kernel smooth-windowed Wigner-Ville bispectrum (AOK-SWWVB) is designed where its separable kernel is determined automatically from the input signal, without prior knowledge of the signal parameters. It is shown that this system performance is comparable to the system when priori knowledge of the signal is known. [ABSTRACT FROM AUTHOR]
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.)
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DbLabel: Engineering Source
An: 57162384
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  Data: Adaptive optimal kernel smooth-windowed Wigner-Ville bispectrum for digital communication signals
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  Data: <searchLink fieldCode="AR" term="%22Tan%2C+Jo+Lynn%22">Tan, Jo Lynn</searchLink><i> tjolynn82@yahoo.co.uk</i><br /><searchLink fieldCode="AR" term="%22Sha’ameri%2C+Ahmad+Zuri+bin%22">Sha’ameri, Ahmad Zuri bin</searchLink><relatesTo>1</relatesTo><i> ahmadzs@yahoo.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Signal+Processing%22">Signal Processing</searchLink>. Apr2011, Vol. 91 Issue 4, p931-937. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Kernel+functions%22">Kernel functions</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+communications%22">Digital communications</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+signal+processing%22">Digital signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Random+noise+theory%22">Random noise theory</searchLink><br /><searchLink fieldCode="DE" term="%22Spectrum+analysis%22">Spectrum analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Performance+evaluation%22">Performance evaluation</searchLink><br /><searchLink fieldCode="DE" term="%22Adaptive+signal+processing%22">Adaptive signal processing</searchLink>
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  Data: Abstract: Higher-order time–frequency distribution (HO-TFD) outperforms the bilinear TFD in noisy conditions but suffers more severely from cross-terms when used to analyze multi-component signals. Various kernel functions have been introduced to suppress cross-terms in bilinear TFD but in general TFD with a fixed kernel do not give accurate TFR for all type of signals. In this paper, adaptive optimal TFR is obtained by extending the separable kernel design in bilinear TFD to the third-order TFD and is able to achieve accurate time–frequency representation at SNR as low as −2dB. This globally adaptive optimal kernel smooth-windowed Wigner-Ville bispectrum (AOK-SWWVB) is designed where its separable kernel is determined automatically from the input signal, without prior knowledge of the signal parameters. It is shown that this system performance is comparable to the system when priori knowledge of the signal is known. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  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/j.sigpro.2010.09.012
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 7
        StartPage: 931
    Subjects:
      – SubjectFull: Kernel functions
        Type: general
      – SubjectFull: Digital communications
        Type: general
      – SubjectFull: Digital signal processing
        Type: general
      – SubjectFull: Random noise theory
        Type: general
      – SubjectFull: Spectrum analysis
        Type: general
      – SubjectFull: Performance evaluation
        Type: general
      – SubjectFull: Adaptive signal processing
        Type: general
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      – TitleFull: Adaptive optimal kernel smooth-windowed Wigner-Ville bispectrum for digital communication signals
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            NameFull: Tan, Jo Lynn
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            NameFull: Sha’ameri, Ahmad Zuri bin
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              M: 04
              Text: Apr2011
              Type: published
              Y: 2011
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            – TitleFull: Signal Processing
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