Computation of Wigner-Ville distribution for complex data
Computation of Wigner-Ville distribution for complex data
- Author(s): S.S Abeysekera
- DOI: 10.1049/el:19900845
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- Author(s): S.S Abeysekera 1
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View affiliations
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Affiliations:
1: Centre for Water Research, University of Western Australia, Perth, Australia
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Affiliations:
1: Centre for Water Research, University of Western Australia, Perth, Australia
- Source:
Volume 26, Issue 16,
2 August 1990,
p.
1315 – 1317
DOI: 10.1049/el:19900845 , Print ISSN 0013-5194, Online ISSN 1350-911X
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:
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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1)
- 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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2)
- 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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6)
- 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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7)
- B. Boashash , S. Haykin . (1989) Time-frequency signal analysis, Advances in spectrum estimation.
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8)
- 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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