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Power spectrum estimation of complex signals and its application to Wigner-Ville distribution: A group delay approach

  • Recent Results In Signal Processing And Communications
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Abstract

In this paper, a method of estimating the power spectrum of a complex signal based on the Group Delay function (GD) is proposed and also applied to the Wigner-Ville Distribution (WVD) to reduce the ripple effect due to the truncation of the autocorrelation sequence. The proposed method is realised by the GD for a complex signal and the modified GD concept. This extends the performance advantages of the modified GD applicable to a real signal, to a complex one. Further, its application to WVD, reduces the truncation/ripple effect without sacrificing any frequency resolution, as nocommon window function is used. Significant improvement in performance, in terms of reduction in variance without any compromise on resolution and higher noise immunity, has been found over those of the periodogram and windowed WVD.

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Authors and Affiliations

  1. Centre for Communication and Signal Processing, Department of Electrical and Computer Engineering, Concordia University, 1455, De Maisonneuve Blvd. West, H3G 1M8, Montreal, Canada

    E I Plotkin

  2. Aerospace Electronics Division, National Aerospace Labs, 560 017, Bangalore, India

    M N S Swamy

Authors
  1. S V Narasimhan
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  2. E I Plotkin
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  3. M N S Swamy
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Narasimhan, S.V., Plotkin, E.I. & Swamy, M.N.S. Power spectrum estimation of complex signals and its application to Wigner-Ville distribution: A group delay approach. Sadhana 23, 57–71 (1998). https://doi.org/10.1007/BF02747623

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  • DOI: https://doi.org/10.1007/BF02747623

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