Computation of Wigner-Ville distribution for complex data

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Computation of Wigner-Ville distribution for complex data

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© The Institution of Electrical Engineers
Published

An extension of the computation of the Wigner-Ville time frequency distribution for complex sonar data is discussed. The method of computation provides insight to the cross terms of the distribution that can be used in pattern recognition.

Inspec keywords: sonar; computerised pattern recognition

Other keywords: Wigner-Ville time frequency distribution; pattern recognition; computation; cross terms; method of computation; complex data; feature extraction; complex sonar data; Wigner-Ville distribution

Subjects: Computer vision and image processing techniques; Military detection and tracking systems; Optical information, image and video signal processing; Communications computing; Sonar and acoustic radar

References

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      • Abeysekera, R.M.S.S.: `Detection of cross terms of the Wigner-Ville distribution of ECG signals', ISSPA '90, Int. Symp. Signal Processing and its Applications, 1990, Brisbane.
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      • T.A.C.M. Classen , W.F.G. Mecklenbrauker . The aliasing problem in discrete-time Wigner distribution. IEEE Trans. , 1067 - 1072
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      • Boashash, B.: `Time-frequency signal analysis—the choice of a method and its application', Report EE85/2, 1985, p. 47 pp, (translation of Doctoral thesis, Univ. of Grenoble, France, 1982).
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      • T.A.C.M. Classen , W.F.C. Mecklenbrauker . The Wigner distribution—a tool for time-frequency signal analysis. Philips J. Res. , 217 - 250, 276–350, 372–389
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      • Chan, D.S.K.: `A non-aliased discrete time Wigner distribution for time-frequency signal analysis', Proc. ICASSP'82, May 1982, Paris, p. 1333–1336.
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      • Abeysekera, R.M.S.S., Boashash, B.: `An algorithm for the computation of Wigner–Ville distribution (WVD)', Proc. IREECON, 1985, Melbourne, Australia, p. 331–334.
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      • B. Boashash , S. Haykin . (1989) Time-frequency signal analysis, Advances in spectrum estimation.
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      • Abeysekera, R.M.S.S., Boashash, B.: `Time–frequency domain features of ECG signals: their application in P wave detection using the cross Wigner-Ville distribution', Proc. ICASSP'89, 1989, Glasgow.
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